Full Stack Software Engineer UK Based Fully Remote £100k £120k + generous bonus scheme The business Join an award-winning, fast-growing technology company building AI-powered infrastructure that turns complex data into real-time intelligence. Their platform blends software, data, and machine learning to transform how organisations operate moving from static reporting to live, adaptive insight. A bit about you This role suits an engineer who enjoys building polished, high-performance web applications and taking real ownership of the systems they work on. You ll be comfortable working in fast-moving teams, care deeply about code quality, and have hands-on experience applying AI in production environment (particularly in enterprise or data-rich settings) The role & relevant experience You ll be responsible for designing, building, and evolving full-stack product features across modern web and data systems. Key areas include: Full-stack development using TypeScript Frontend work with Svelte (or similar modern component frameworks) Building and maintaining cloud-native systems on AWS Working with data platforms such as Postgres and Snowflake, plus caching layers like Redis Designing SQL-based data models and working with distributed data workflows Integrating LLM-driven capabilities (e.g. RAG / CAG architectures) into production grade systems. If big systems, AI initiatives and modern tech get you fired up, this could be your next move.
May 07, 2026
Full time
Full Stack Software Engineer UK Based Fully Remote £100k £120k + generous bonus scheme The business Join an award-winning, fast-growing technology company building AI-powered infrastructure that turns complex data into real-time intelligence. Their platform blends software, data, and machine learning to transform how organisations operate moving from static reporting to live, adaptive insight. A bit about you This role suits an engineer who enjoys building polished, high-performance web applications and taking real ownership of the systems they work on. You ll be comfortable working in fast-moving teams, care deeply about code quality, and have hands-on experience applying AI in production environment (particularly in enterprise or data-rich settings) The role & relevant experience You ll be responsible for designing, building, and evolving full-stack product features across modern web and data systems. Key areas include: Full-stack development using TypeScript Frontend work with Svelte (or similar modern component frameworks) Building and maintaining cloud-native systems on AWS Working with data platforms such as Postgres and Snowflake, plus caching layers like Redis Designing SQL-based data models and working with distributed data workflows Integrating LLM-driven capabilities (e.g. RAG / CAG architectures) into production grade systems. If big systems, AI initiatives and modern tech get you fired up, this could be your next move.
Production Operative Location: Vetchberry - Witton, Birmingham Salary: £26,000 - £27,000 per annum Vacancy Type: Permanent - Full Time They are recruiting for a Cut to Length Operator also known as a Decoiling Operator, who will be responsible for operating machinery used to process coil products (stainless steel and aluminium) according to customer specifications. The role involves using overhead crane and forklift truck; with typical activities including, loading and unloading coils, setting the line, in-production inspection - ensuring product quality and maintaining a safe working environment. 38.5 hours per week Monday-Thursday 7:30am-4:15pm Fridays 7:30am-1pm The role is based at their Vetchberry Steels site - B6 7BN Key Responsibilities Operating various Cut to length lines Setting up machinery accurately to works order specifications and customer tolerances Maintain production records and complete required documentation Overhead crane when authorised and in accordance with Company training records Loading and unloading coils on a machine line safely Driving forklift trucks when authorised and in accordance with Company training records Ensure cleanliness of work areas Follow safety protocols and maintain a clean work area Reporting quality, damage, shortages and overages Mandatory PPE must be worn at all times Maintaining all metal traceability systems Recycle metal scrap into correct bins. Recycle any packaging waste into correct bins. Report any damage, shortage and overages to the Operations Manager Other warehouse duties as and when required Skills, Knowledge and Expertise Essential knowledge /skills /experience /behaviours: Over Head Crane licence Forklift Truck licence (B1 or above) Good team player Digitally competent Attention to detail skills Desirable knowledge /skills /experience /behaviours: Previously used micrometre and vernier callipers Experience in the steel and metal industry 1st operator experience Job Benefits 25 days holiday + 8 bank holidays Company bonus scheme Advantageous pension scheme Learning & Development opportunities Employee high street vouchers & discounts Employee Assistance Programme Occupational health & health surveillance Length of Service Awards Christmas savings scheme Eye care vouchers Wellbeing events Recognition Portal Rewards Portal Company events Car Salary Exchange Scheme Company share schemes Christmas Closedown About the company The company operates a network of 8 sites with just under 500 employees in England and Northern Ireland which are in; Birmingham, Preston, Darton, Milton Keynes, and two sites in Belfast. They offer a vast range of metal material products such as stainless steel, aluminium and mild steel. They also provide a range of services, whether it be fully welded and fabricated finished parts or bespoke flat products cut to exact sizes. They have years of experience in the aerospace, construction and architecture, automotive and the general engineering industries. To Apply If you feel you are a suitable candidate and would like to work for the company, please click apply. Please note that they reserve the right to remove this advert prior to the advertised expiry date, dependent on the level of response received. You are therefore advised to apply at your earliest convenience. Due to the volume of applications they receive, they are unable to supply individual feedback at the CV review stage.
May 07, 2026
Full time
Production Operative Location: Vetchberry - Witton, Birmingham Salary: £26,000 - £27,000 per annum Vacancy Type: Permanent - Full Time They are recruiting for a Cut to Length Operator also known as a Decoiling Operator, who will be responsible for operating machinery used to process coil products (stainless steel and aluminium) according to customer specifications. The role involves using overhead crane and forklift truck; with typical activities including, loading and unloading coils, setting the line, in-production inspection - ensuring product quality and maintaining a safe working environment. 38.5 hours per week Monday-Thursday 7:30am-4:15pm Fridays 7:30am-1pm The role is based at their Vetchberry Steels site - B6 7BN Key Responsibilities Operating various Cut to length lines Setting up machinery accurately to works order specifications and customer tolerances Maintain production records and complete required documentation Overhead crane when authorised and in accordance with Company training records Loading and unloading coils on a machine line safely Driving forklift trucks when authorised and in accordance with Company training records Ensure cleanliness of work areas Follow safety protocols and maintain a clean work area Reporting quality, damage, shortages and overages Mandatory PPE must be worn at all times Maintaining all metal traceability systems Recycle metal scrap into correct bins. Recycle any packaging waste into correct bins. Report any damage, shortage and overages to the Operations Manager Other warehouse duties as and when required Skills, Knowledge and Expertise Essential knowledge /skills /experience /behaviours: Over Head Crane licence Forklift Truck licence (B1 or above) Good team player Digitally competent Attention to detail skills Desirable knowledge /skills /experience /behaviours: Previously used micrometre and vernier callipers Experience in the steel and metal industry 1st operator experience Job Benefits 25 days holiday + 8 bank holidays Company bonus scheme Advantageous pension scheme Learning & Development opportunities Employee high street vouchers & discounts Employee Assistance Programme Occupational health & health surveillance Length of Service Awards Christmas savings scheme Eye care vouchers Wellbeing events Recognition Portal Rewards Portal Company events Car Salary Exchange Scheme Company share schemes Christmas Closedown About the company The company operates a network of 8 sites with just under 500 employees in England and Northern Ireland which are in; Birmingham, Preston, Darton, Milton Keynes, and two sites in Belfast. They offer a vast range of metal material products such as stainless steel, aluminium and mild steel. They also provide a range of services, whether it be fully welded and fabricated finished parts or bespoke flat products cut to exact sizes. They have years of experience in the aerospace, construction and architecture, automotive and the general engineering industries. To Apply If you feel you are a suitable candidate and would like to work for the company, please click apply. Please note that they reserve the right to remove this advert prior to the advertised expiry date, dependent on the level of response received. You are therefore advised to apply at your earliest convenience. Due to the volume of applications they receive, they are unable to supply individual feedback at the CV review stage.
YT Tech are working with a security technology company based near Worcester. We are looking for a Senior Embedded Engineer who wants to do more than just write code. This is a role for an engineer who enjoys the sharing of ideas and wants an interesting role. The Mission: You will be responsible for developing high-reliability, secure-by-design firmware for sophisticated life-saving devices. You will be porting complex AI and machine learning algorithms (developed in Python/MATLAB) directly onto embedded platforms to drive real-time detection capabilities. Technical Focus: Architecture: Expert-level development in Embedded C and C++. Microprocessors: Deep experience with the STM32 family (ARM Cortex). RTOS: Implementation and optimization using FreeRTOS or similar. Connectivity: Mastery of digital communication protocols (I2C, SPI, CAN Bus, Ethernet). Innovation: Deploying Edge AI and machine learning algorithms on-chip (e.g., Nvidia Jetson). Your experience; Commercial Edge: You have at least 5 years of experience in a commercial product development environment. Communicator: You are confident and articulate. Right to Work: Full, unrestricted right to work in the UK is essential (No visa sponsorship available). If you're interested and match the criteria, pease apply with your most recent CV and I will be in touch to discuss.
May 07, 2026
Full time
YT Tech are working with a security technology company based near Worcester. We are looking for a Senior Embedded Engineer who wants to do more than just write code. This is a role for an engineer who enjoys the sharing of ideas and wants an interesting role. The Mission: You will be responsible for developing high-reliability, secure-by-design firmware for sophisticated life-saving devices. You will be porting complex AI and machine learning algorithms (developed in Python/MATLAB) directly onto embedded platforms to drive real-time detection capabilities. Technical Focus: Architecture: Expert-level development in Embedded C and C++. Microprocessors: Deep experience with the STM32 family (ARM Cortex). RTOS: Implementation and optimization using FreeRTOS or similar. Connectivity: Mastery of digital communication protocols (I2C, SPI, CAN Bus, Ethernet). Innovation: Deploying Edge AI and machine learning algorithms on-chip (e.g., Nvidia Jetson). Your experience; Commercial Edge: You have at least 5 years of experience in a commercial product development environment. Communicator: You are confident and articulate. Right to Work: Full, unrestricted right to work in the UK is essential (No visa sponsorship available). If you're interested and match the criteria, pease apply with your most recent CV and I will be in touch to discuss.
Software Engineer (AWS, Python, C#/C++, CFD/FEA) Oxford - 3-4 days per week in office. £45000 - £68000 + Package. - Must have a Computing/STEM Degree (2:1 or higher). - Can work in their Oxford head office 3-4 days week. - Must have experience with AWS/Distributed Computing and Applied/Mechanical Engineering Your new company You'll be joining a cutting-edge engineering and technology organisation that has grown rapidly in the UK, now pushing into global markets. Formed by world leading experts in science/software the business is redefining how high performance components/instruments are designed. This role would essentially suit someone with a passion for Mechanical Engineering/Physical Modelling with commercial Software Development experience - you must have written production grade code in C#, C++ or Python for application development (not web apps or Embedded) and an interest in pushing Machine Learning over time. Crucially we are looking for experience with AWS Cloud/Distributed Computing to be considered. Your new role In this role you'll be tackling engineering challenges that most organisations simply can't touch and building proprietary software that makes a difference in the world. You will thrive in an environment where new challenges appear daily and innovation is the expectation. Your role will involve developing core modules within the Engineering design platform, and integrating modules into a cloud compute environment for a team that runs Agile. You'll wrap commercial simulation tools, integrate everything into automated workflows and help streamline complex engineering processes through high quality automation. The right person will be motivated and hungry to solve first-of-their-kind challenges. With the rapid expansion and new investment into the company it's an exciting time to be joining with solid progression opportunities. You're also safe in the knowledge the future is bright as their customer list boasts some of the worlds leading tech, automotive, aerospace and engineering brands. What you'll need to succeed We're looking for candidates with a Bachelors, Masters or PhD Degree in a STEM or Computing discipline - ideally from a Russell Group University. We need 2-8 years proficiency working in a commercial Software Engineering role/team using either C#, C++ or Python. Ideally you'll have worked with Vue/Django, JavaScript/Typescript. You should have Distributed Computing experience, ideally in an AWS environment and working with Cloud Architecture to apply for this role. this will be supported by a mix of Kubernetes cluster experience, PostgreSQL and Linux platform background. You'll have a strong knowledge of software design patterns and modern engineering principles and clear communication/interpersonal skills are a must for working closely with internal teams. Experience to help guide the team and confidently push back when needed is essential. Experience in a Mechanical Engineering environment will stand out with some exposure to Computional Fluid Dynamics (CFD) or Finite Element Analysis (FEA). What you'll get in return The company offers 25 days' holiday plus bank holidays, flexible working hours, a pension with a 9% employer contribution, private healthcare covering dental & health screening. There are company share options and a huge collection of local discount schemes including gym membership and there is parking on site. What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Business Director. At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
May 07, 2026
Full time
Software Engineer (AWS, Python, C#/C++, CFD/FEA) Oxford - 3-4 days per week in office. £45000 - £68000 + Package. - Must have a Computing/STEM Degree (2:1 or higher). - Can work in their Oxford head office 3-4 days week. - Must have experience with AWS/Distributed Computing and Applied/Mechanical Engineering Your new company You'll be joining a cutting-edge engineering and technology organisation that has grown rapidly in the UK, now pushing into global markets. Formed by world leading experts in science/software the business is redefining how high performance components/instruments are designed. This role would essentially suit someone with a passion for Mechanical Engineering/Physical Modelling with commercial Software Development experience - you must have written production grade code in C#, C++ or Python for application development (not web apps or Embedded) and an interest in pushing Machine Learning over time. Crucially we are looking for experience with AWS Cloud/Distributed Computing to be considered. Your new role In this role you'll be tackling engineering challenges that most organisations simply can't touch and building proprietary software that makes a difference in the world. You will thrive in an environment where new challenges appear daily and innovation is the expectation. Your role will involve developing core modules within the Engineering design platform, and integrating modules into a cloud compute environment for a team that runs Agile. You'll wrap commercial simulation tools, integrate everything into automated workflows and help streamline complex engineering processes through high quality automation. The right person will be motivated and hungry to solve first-of-their-kind challenges. With the rapid expansion and new investment into the company it's an exciting time to be joining with solid progression opportunities. You're also safe in the knowledge the future is bright as their customer list boasts some of the worlds leading tech, automotive, aerospace and engineering brands. What you'll need to succeed We're looking for candidates with a Bachelors, Masters or PhD Degree in a STEM or Computing discipline - ideally from a Russell Group University. We need 2-8 years proficiency working in a commercial Software Engineering role/team using either C#, C++ or Python. Ideally you'll have worked with Vue/Django, JavaScript/Typescript. You should have Distributed Computing experience, ideally in an AWS environment and working with Cloud Architecture to apply for this role. this will be supported by a mix of Kubernetes cluster experience, PostgreSQL and Linux platform background. You'll have a strong knowledge of software design patterns and modern engineering principles and clear communication/interpersonal skills are a must for working closely with internal teams. Experience to help guide the team and confidently push back when needed is essential. Experience in a Mechanical Engineering environment will stand out with some exposure to Computional Fluid Dynamics (CFD) or Finite Element Analysis (FEA). What you'll get in return The company offers 25 days' holiday plus bank holidays, flexible working hours, a pension with a 9% employer contribution, private healthcare covering dental & health screening. There are company share options and a huge collection of local discount schemes including gym membership and there is parking on site. What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Business Director. At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Join our evolving team of creative problem solvers! At Holmes Solutions, we work on some very cool projects. Whether we are revamping construction methods or designing thrill rides, we pride ourselves on finding amazing new ways to do things. We're looking for a motivated Electric Drive System Engineer to join our growing Engineering team. You'll be at the heart of developing electric powertrain solutions across the full system lifecycle - from concept and design through to testing and integration. With a strong background in mechanical or mechatronic engineering, you'll design and optimise batteries, motors, inverters, gearboxes, and associated components, taking real ownership of your projects from early development through to real-world application. This is a full-time role based in Christchurch, with flexible working options available. If you're keen to be part of the action, please read on! Key duties & responsibilities Determining, designing, developing, specifying and verifying electrical motive powertrain systems for use in vehicle propulsion and mechanism actuation. Determining drive and duty demands required of the application; establishing operational performance specifications to enable powertrain development. Architecting end-to-end powertrain energy and drive systems - spanning battery, charging, motors, actuators, and mechanical transmissions. Selection of suitable battery technology and chemistry; working with battery suppliers for the detailed specification, design, and procurement support of suitable battery systems. Identifying and selection of suitable motor controllers and motors and actuators. Working with suppliers to determine application suitability, customisation, configuration, and issue resolution. Mechanical design and engineering of transmission systems for integrated performance with the application system and other powertrain elements. Engineering thermal management performance of the integrated system for operational reliability and robustness. Supporting control strategy development through defining propulsion behaviour and interface requirements. What you'll bring to the team: Detailed technical knowledge and experience in selection of battery technologies with a particular focus on Li battery technologies and chemistries; their characteristics and application suitability. Ability to understand application drive requirements, including the influence of real-world conditions on drive demands. Effective application of engineering modelling tools for predicting behaviour and performance of electric drive systems, and for use in specifying hardware and control strategies. Detailed technical knowledge and experience in selection of BLDC motor controllers and motors for four-quadrant control. Engineering of Low Voltage drive systems up to 60 kW motive power. Knowledge of different mechanical transmission systems and ability in defining, specifying, and engineering mechanical power transmission systems as part of a full electric drive system. Bachelor of Engineering in mechanical or mechatronic engineering, or equivalent. About Holmes Solutions: We work with international clients in many industries including adventure recreation, construction, and roadside hardware. We cover everything from ideation and R&D, to testing, compliance and accreditation. It's fair to say there's never a dull moment in our design hub! Why Join Holmes Solutions? We're a close-knit team that champions innovation, knowledge-sharing, and work-life balance. We celebrate diversity, welcoming applicants from all backgrounds because we believe in the power of varied perspectives to drive innovation. We believe in taking care of our people. Here's a snapshot of what you can look forward to: Financial - Competitive salary, KiwiSaver, profit share bonus, annual leave, and sick pay. Health & Wellbeing - Medical insurance for you and your family, life insurance, wellness allowance, an Employee Assistance Programme, onsite gym with classes available. Culture & Environment - A sociable, supportive culture with team lunches and events. A coffee machine, tea, fresh fruit, and snacks to keep you going! Learning & Development - Training support and access to courses tailored to help you grow and achieve your career goals. Flexibility - Flexible working arrangements to suit your lifestyle. Most importantly, you'll be joining a supportive, innovative, and down-to-earth organisation where no two days look the same - working across a diverse and exciting range of projects. Take Your Next Step With Us: If you are ready to apply your skills to powertrain challenges that genuinely matter - and want to do it in an environment where your contributions are valued and your career can grow - this could be the role for you!
May 07, 2026
Full time
Join our evolving team of creative problem solvers! At Holmes Solutions, we work on some very cool projects. Whether we are revamping construction methods or designing thrill rides, we pride ourselves on finding amazing new ways to do things. We're looking for a motivated Electric Drive System Engineer to join our growing Engineering team. You'll be at the heart of developing electric powertrain solutions across the full system lifecycle - from concept and design through to testing and integration. With a strong background in mechanical or mechatronic engineering, you'll design and optimise batteries, motors, inverters, gearboxes, and associated components, taking real ownership of your projects from early development through to real-world application. This is a full-time role based in Christchurch, with flexible working options available. If you're keen to be part of the action, please read on! Key duties & responsibilities Determining, designing, developing, specifying and verifying electrical motive powertrain systems for use in vehicle propulsion and mechanism actuation. Determining drive and duty demands required of the application; establishing operational performance specifications to enable powertrain development. Architecting end-to-end powertrain energy and drive systems - spanning battery, charging, motors, actuators, and mechanical transmissions. Selection of suitable battery technology and chemistry; working with battery suppliers for the detailed specification, design, and procurement support of suitable battery systems. Identifying and selection of suitable motor controllers and motors and actuators. Working with suppliers to determine application suitability, customisation, configuration, and issue resolution. Mechanical design and engineering of transmission systems for integrated performance with the application system and other powertrain elements. Engineering thermal management performance of the integrated system for operational reliability and robustness. Supporting control strategy development through defining propulsion behaviour and interface requirements. What you'll bring to the team: Detailed technical knowledge and experience in selection of battery technologies with a particular focus on Li battery technologies and chemistries; their characteristics and application suitability. Ability to understand application drive requirements, including the influence of real-world conditions on drive demands. Effective application of engineering modelling tools for predicting behaviour and performance of electric drive systems, and for use in specifying hardware and control strategies. Detailed technical knowledge and experience in selection of BLDC motor controllers and motors for four-quadrant control. Engineering of Low Voltage drive systems up to 60 kW motive power. Knowledge of different mechanical transmission systems and ability in defining, specifying, and engineering mechanical power transmission systems as part of a full electric drive system. Bachelor of Engineering in mechanical or mechatronic engineering, or equivalent. About Holmes Solutions: We work with international clients in many industries including adventure recreation, construction, and roadside hardware. We cover everything from ideation and R&D, to testing, compliance and accreditation. It's fair to say there's never a dull moment in our design hub! Why Join Holmes Solutions? We're a close-knit team that champions innovation, knowledge-sharing, and work-life balance. We celebrate diversity, welcoming applicants from all backgrounds because we believe in the power of varied perspectives to drive innovation. We believe in taking care of our people. Here's a snapshot of what you can look forward to: Financial - Competitive salary, KiwiSaver, profit share bonus, annual leave, and sick pay. Health & Wellbeing - Medical insurance for you and your family, life insurance, wellness allowance, an Employee Assistance Programme, onsite gym with classes available. Culture & Environment - A sociable, supportive culture with team lunches and events. A coffee machine, tea, fresh fruit, and snacks to keep you going! Learning & Development - Training support and access to courses tailored to help you grow and achieve your career goals. Flexibility - Flexible working arrangements to suit your lifestyle. Most importantly, you'll be joining a supportive, innovative, and down-to-earth organisation where no two days look the same - working across a diverse and exciting range of projects. Take Your Next Step With Us: If you are ready to apply your skills to powertrain challenges that genuinely matter - and want to do it in an environment where your contributions are valued and your career can grow - this could be the role for you!
Software Engineer - Defence Technology £60,000 - £85,000 DOE Southampton - Hybrid Security Clearable *Are you a software engineer who wants your work to genuinely matter?* We're looking for a passionate software engineer to join a high-performing team tackling some of the most technically demanding challenges in the defence sector. This isn't about maintaining Legacy systems or shipping incremental updates - it's about building cutting-edge capability that operates at the edge, in the field, and under pressure. The Role You'll be part of a team delivering software solutions that leverage the latest in machine learning, edge compute, and DevOps automation. Think rapid capability deployment, deployed hardware environments, sensors, and robotics - the kind of engineering problems that push you to grow. You'll own code releases and deployments, support operational systems, and collaborate across disciplines to drive agile best practice into real-world solutions. What You'll Be Doing You'll work closely with product owners and fellow engineers across the full delivery life cycle - from architecture discussions to production deployments. Day to day, that means contributing to agile ceremonies (Scrum, Kanban or SAFe), participating in code reviews, working with quality engineers to uphold high standards, and troubleshooting operational systems when it counts. This is a collaborative, technically ambitious environment where your voice matters and your ideas get heard. What We're Looking For You'll have a degree in a STEM subject, or equivalent practical experience. Beyond that, we're interested in engineers who are curious, proactive, and genuinely energised by solving hard problems. You'll be familiar with some combination of the following - we don't expect expertise across everything, but we do want depth in some areas and a hunger to learn the rest. *Languages:* Python, Java, Rust, or JavaScript *Cloud:* AWS (primary), with Azure or GCP experience a bonus *Containerisation & Virtualisation:* Docker or Podman, Kubernetes, and ideally some exposure to GPU containerisation (NVIDIA Container Toolkit, Run:AI) *Architecture:* Microservices, serverless, edge compute, RESTful APIs, Protobuf/gRPC, and stream-based pub/sub systems including Kafka and MQTT *DevSecOps:* Git, CI/CD pipelines (eg GitLab), Infrastructure as Code (Terraform, Puppet, Ansible), and Linux Shell Scripting As important as the technical profile is the person behind it. You'll communicate clearly with colleagues at all levels, thrive in a team, and take ownership of your work with a solutions-first mindset. What's on Offer Alongside a competitive salary, you'll have access to a flexible benefits package spanning health and wellbeing, financial protection, and lifestyle perks. You'll join a genuinely inclusive organisation that invests in its people and its technology in equal measure - having doubled in size over the last four years, the growth here is real and the opportunities that come with it are too. There's also a thriving internal community of technical groups where engineers come together around shared interests, tools, and ideas. It's the kind of place where intellectual curiosity is encouraged, not just tolerated. *This role requires the ability to obtain UK Security Clearance.* If you're ready to work on problems that matter, with people who take pride in what they build, we'd love to hear from you.
May 07, 2026
Full time
Software Engineer - Defence Technology £60,000 - £85,000 DOE Southampton - Hybrid Security Clearable *Are you a software engineer who wants your work to genuinely matter?* We're looking for a passionate software engineer to join a high-performing team tackling some of the most technically demanding challenges in the defence sector. This isn't about maintaining Legacy systems or shipping incremental updates - it's about building cutting-edge capability that operates at the edge, in the field, and under pressure. The Role You'll be part of a team delivering software solutions that leverage the latest in machine learning, edge compute, and DevOps automation. Think rapid capability deployment, deployed hardware environments, sensors, and robotics - the kind of engineering problems that push you to grow. You'll own code releases and deployments, support operational systems, and collaborate across disciplines to drive agile best practice into real-world solutions. What You'll Be Doing You'll work closely with product owners and fellow engineers across the full delivery life cycle - from architecture discussions to production deployments. Day to day, that means contributing to agile ceremonies (Scrum, Kanban or SAFe), participating in code reviews, working with quality engineers to uphold high standards, and troubleshooting operational systems when it counts. This is a collaborative, technically ambitious environment where your voice matters and your ideas get heard. What We're Looking For You'll have a degree in a STEM subject, or equivalent practical experience. Beyond that, we're interested in engineers who are curious, proactive, and genuinely energised by solving hard problems. You'll be familiar with some combination of the following - we don't expect expertise across everything, but we do want depth in some areas and a hunger to learn the rest. *Languages:* Python, Java, Rust, or JavaScript *Cloud:* AWS (primary), with Azure or GCP experience a bonus *Containerisation & Virtualisation:* Docker or Podman, Kubernetes, and ideally some exposure to GPU containerisation (NVIDIA Container Toolkit, Run:AI) *Architecture:* Microservices, serverless, edge compute, RESTful APIs, Protobuf/gRPC, and stream-based pub/sub systems including Kafka and MQTT *DevSecOps:* Git, CI/CD pipelines (eg GitLab), Infrastructure as Code (Terraform, Puppet, Ansible), and Linux Shell Scripting As important as the technical profile is the person behind it. You'll communicate clearly with colleagues at all levels, thrive in a team, and take ownership of your work with a solutions-first mindset. What's on Offer Alongside a competitive salary, you'll have access to a flexible benefits package spanning health and wellbeing, financial protection, and lifestyle perks. You'll join a genuinely inclusive organisation that invests in its people and its technology in equal measure - having doubled in size over the last four years, the growth here is real and the opportunities that come with it are too. There's also a thriving internal community of technical groups where engineers come together around shared interests, tools, and ideas. It's the kind of place where intellectual curiosity is encouraged, not just tolerated. *This role requires the ability to obtain UK Security Clearance.* If you're ready to work on problems that matter, with people who take pride in what they build, we'd love to hear from you.
Machine Learning Engineer/Data Scientist Location: London/Aylesbury hybrid Salary: £85,000-£100,000 Type: Permanent Clearance: Active SC Clearance required What We're Looking For Analytical, detail-oriented and collaborative. Comfortable on fast-moving projects. Motivated by solving complex real-world challenges across technical and non-technical teams. Key Responsibilities Develop and deploy ML solutions for real-world operational data Work on multi-source, multi-modal sensor-driven systems Build and optimise edge-to-cloud analytics pipelines Apply signal processing, computer vision and sensor fusion to complex datasets Collaborate with engineering, product and customer-facing teams Contribute to ML model decisions, deployment architecture and system performance Optimise solutions for high-stakes environments where reliability is critical Required Skills Strong background in ML Engineering or Data Science Experience with sensor signal processing, computer vision and sensor fusion Applied ML experience using real-world data Experience building edge-to-cloud analytics pipelines Strong Python skills and related ML tooling Active SC Clearance required Desirable Defence, security, robotics, drones or autonomous systems experience Familiarity with secure or sovereign technology environments Production ML deployment experience Experience with noisy, high-dimensional or resource-constrained data Knowledge of distributed systems, cloud or edge computing
May 07, 2026
Full time
Machine Learning Engineer/Data Scientist Location: London/Aylesbury hybrid Salary: £85,000-£100,000 Type: Permanent Clearance: Active SC Clearance required What We're Looking For Analytical, detail-oriented and collaborative. Comfortable on fast-moving projects. Motivated by solving complex real-world challenges across technical and non-technical teams. Key Responsibilities Develop and deploy ML solutions for real-world operational data Work on multi-source, multi-modal sensor-driven systems Build and optimise edge-to-cloud analytics pipelines Apply signal processing, computer vision and sensor fusion to complex datasets Collaborate with engineering, product and customer-facing teams Contribute to ML model decisions, deployment architecture and system performance Optimise solutions for high-stakes environments where reliability is critical Required Skills Strong background in ML Engineering or Data Science Experience with sensor signal processing, computer vision and sensor fusion Applied ML experience using real-world data Experience building edge-to-cloud analytics pipelines Strong Python skills and related ML tooling Active SC Clearance required Desirable Defence, security, robotics, drones or autonomous systems experience Familiarity with secure or sovereign technology environments Production ML deployment experience Experience with noisy, high-dimensional or resource-constrained data Knowledge of distributed systems, cloud or edge computing
Lead Data Platform Specialist - Up to £85k + c.15% Bonus Fully Remote - Condensed & flexible hours available (4 day working week available - 9 out of 10, etc.) My client, a nation-wide organisation with a reputation for excellence and a supportive, inclusive culture, is seeking a Lead Data Platform Engineer to join their Data Engineering and Machine Learning team. This is a high-impact, senior role, ideal for someone with deep experience in modern cloud data platforms, looking to shape and deliver a scalable, secure, and innovative data platform. *You need to have strong experience working with Databricks* You'll play a pivotal role in designing, building, and optimising their Azure-based Data Lakehouse, with a focus on Databricks, PySpark, Spark SQL, and Azure Data Factory. This isn't just about coding - you'll also provide architectural guidance, mentor engineers, and ensure solutions are scalable, secure, and aligned with business needs. Hands-on experience with CI/CD, automation, and infrastructure-as-code (Terraform, ARM templates) is essential. Experience in machine learning platforms or ML engineering is a bonus. Key Responsibilities: Build and maintain the Data Lakehouse platform in a secure Azure environment Develop automation for cluster management, integration runtimes, and networking Lead architectural design and ensure platform scalability, reliability, and governance Write efficient, maintainable code in PySpark, Python, and SQL Implement CI/CD pipelines and cloud infrastructure via Terraform/ARM Collaborate with data engineers, architects, and business stakeholders Mentor and coach engineers, fostering a culture of learning and excellence Essential Skills: Deep experience in Databricks, Azure Data Factory, and Lakehouse architecture Strong solution architecture and data platform engineering skills DevOps and automation expertise, including CI/CD, monitoring, and code quality Infrastructure-as-code (Terraform or ARM templates) for cloud resource provisioning Excellent communication and mentoring skills It's not often a role comes along in a team like this, where you get the chance to flex or condense hours, receive a strong salary with a bonus, potential for growth, independence and autonomy, and a clear Pathway of progression. You'll get Private medical options, 25 days holiday, plus bank holiday, and the chance to buy/sell holiday. This is a rare opportunity to join a forward-thinking team at a leading organisation, working fully remotely with flexibility and excellent benefits. You'll be shaping the future of their data platform while collaborating with a talented and diverse team. To apply, please submit your CV as we are looking to move quickly on this role. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
May 07, 2026
Full time
Lead Data Platform Specialist - Up to £85k + c.15% Bonus Fully Remote - Condensed & flexible hours available (4 day working week available - 9 out of 10, etc.) My client, a nation-wide organisation with a reputation for excellence and a supportive, inclusive culture, is seeking a Lead Data Platform Engineer to join their Data Engineering and Machine Learning team. This is a high-impact, senior role, ideal for someone with deep experience in modern cloud data platforms, looking to shape and deliver a scalable, secure, and innovative data platform. *You need to have strong experience working with Databricks* You'll play a pivotal role in designing, building, and optimising their Azure-based Data Lakehouse, with a focus on Databricks, PySpark, Spark SQL, and Azure Data Factory. This isn't just about coding - you'll also provide architectural guidance, mentor engineers, and ensure solutions are scalable, secure, and aligned with business needs. Hands-on experience with CI/CD, automation, and infrastructure-as-code (Terraform, ARM templates) is essential. Experience in machine learning platforms or ML engineering is a bonus. Key Responsibilities: Build and maintain the Data Lakehouse platform in a secure Azure environment Develop automation for cluster management, integration runtimes, and networking Lead architectural design and ensure platform scalability, reliability, and governance Write efficient, maintainable code in PySpark, Python, and SQL Implement CI/CD pipelines and cloud infrastructure via Terraform/ARM Collaborate with data engineers, architects, and business stakeholders Mentor and coach engineers, fostering a culture of learning and excellence Essential Skills: Deep experience in Databricks, Azure Data Factory, and Lakehouse architecture Strong solution architecture and data platform engineering skills DevOps and automation expertise, including CI/CD, monitoring, and code quality Infrastructure-as-code (Terraform or ARM templates) for cloud resource provisioning Excellent communication and mentoring skills It's not often a role comes along in a team like this, where you get the chance to flex or condense hours, receive a strong salary with a bonus, potential for growth, independence and autonomy, and a clear Pathway of progression. You'll get Private medical options, 25 days holiday, plus bank holiday, and the chance to buy/sell holiday. This is a rare opportunity to join a forward-thinking team at a leading organisation, working fully remotely with flexibility and excellent benefits. You'll be shaping the future of their data platform while collaborating with a talented and diverse team. To apply, please submit your CV as we are looking to move quickly on this role. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Systems Engineer Salary: 45,000- 50,000 Location: Oxfordshire (Hybrid - 3 days onsite) Permanent Full Time We are working with a fast-growing, well-funded deep-tech start-up developing next-generation safety and assurance technology for AI and autonomous systems. This is a unique opportunity to join a business at the forefront of innovation, building critical infrastructure that enables the safe deployment of advanced autonomous technologies across sectors such as aerospace and robotics. The organisation is scaling rapidly and is looking for a Systems Engineer to play a key role in shaping its technical direction, working closely with senior leadership and cross-functional engineering teams. This role would suit someone who thrives in a start-up environment, enjoys ownership and is motivated by solving complex, real-world engineering challenges. The Role As a Systems Engineer, you will contribute to the design and development of complex, safety-critical systems with an initial focus on autonomous and unmanned platforms. You'll take ownership of system architecture, ensuring integration across software and hardware components, while guiding projects through the full engineering lifecycle. Key Responsibilities Design and develop system architectures for advanced engineering solutions, particularly within autonomous systems Collaborate with multi-disciplinary teams including software, embedded, safety and machine learning engineers Conduct system-level analysis, trade-off studies and risk assessments Define and manage system requirements, interfaces and specifications Oversee implementation, integration, verification and validation activities Manage the full systems engineering lifecycle from concept through to delivery Support continuous improvement of engineering processes, tools and methodologies Key Skills & Experience Degree (BSc/MSc/PhD) in Computer Science, Aerospace Engineering, Electrical Engineering or similar Experience delivering complex, safety-critical systems Strong background in systems architecture and design Knowledge of systems engineering methodologies (e.g. MBSE / SysML) Understanding of software, embedded systems and real-time architectures Experience with safety and certification standards (e.g. DO-178C, DO-254, ARP4754A) Familiarity with regulatory frameworks within autonomous or aerospace systems Strong analytical, problem-solving and communication skills Eligibility to obtain UK security clearance and right to work in the UK Working Environment This is a high-growth, ambitious start-up where engineers are empowered to take ownership and contribute directly to the company's success. The team values collaboration, curiosity and technical excellence, and operates in a fast-paced environment where adaptability and initiative are key. You'll be part of a group building cutting-edge technology from the ground up, working on technically challenging problems with real-world impact. What's on Offer Competitive salary (DOE) Opportunity to work on industry-leading technology High-impact role within a scaling business Collaborative and innovative engineering environment Interested? Apply via the link or contact me directly on (url removed) to discuss the role in more detail. INDTECH DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality
May 07, 2026
Full time
Systems Engineer Salary: 45,000- 50,000 Location: Oxfordshire (Hybrid - 3 days onsite) Permanent Full Time We are working with a fast-growing, well-funded deep-tech start-up developing next-generation safety and assurance technology for AI and autonomous systems. This is a unique opportunity to join a business at the forefront of innovation, building critical infrastructure that enables the safe deployment of advanced autonomous technologies across sectors such as aerospace and robotics. The organisation is scaling rapidly and is looking for a Systems Engineer to play a key role in shaping its technical direction, working closely with senior leadership and cross-functional engineering teams. This role would suit someone who thrives in a start-up environment, enjoys ownership and is motivated by solving complex, real-world engineering challenges. The Role As a Systems Engineer, you will contribute to the design and development of complex, safety-critical systems with an initial focus on autonomous and unmanned platforms. You'll take ownership of system architecture, ensuring integration across software and hardware components, while guiding projects through the full engineering lifecycle. Key Responsibilities Design and develop system architectures for advanced engineering solutions, particularly within autonomous systems Collaborate with multi-disciplinary teams including software, embedded, safety and machine learning engineers Conduct system-level analysis, trade-off studies and risk assessments Define and manage system requirements, interfaces and specifications Oversee implementation, integration, verification and validation activities Manage the full systems engineering lifecycle from concept through to delivery Support continuous improvement of engineering processes, tools and methodologies Key Skills & Experience Degree (BSc/MSc/PhD) in Computer Science, Aerospace Engineering, Electrical Engineering or similar Experience delivering complex, safety-critical systems Strong background in systems architecture and design Knowledge of systems engineering methodologies (e.g. MBSE / SysML) Understanding of software, embedded systems and real-time architectures Experience with safety and certification standards (e.g. DO-178C, DO-254, ARP4754A) Familiarity with regulatory frameworks within autonomous or aerospace systems Strong analytical, problem-solving and communication skills Eligibility to obtain UK security clearance and right to work in the UK Working Environment This is a high-growth, ambitious start-up where engineers are empowered to take ownership and contribute directly to the company's success. The team values collaboration, curiosity and technical excellence, and operates in a fast-paced environment where adaptability and initiative are key. You'll be part of a group building cutting-edge technology from the ground up, working on technically challenging problems with real-world impact. What's on Offer Competitive salary (DOE) Opportunity to work on industry-leading technology High-impact role within a scaling business Collaborative and innovative engineering environment Interested? Apply via the link or contact me directly on (url removed) to discuss the role in more detail. INDTECH DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality
Machine Learning/Data Science Researcher - Bristol (Hybrid | 3 days office) Full-time | Permanent Are you a researcher who enjoys solving problems where the solution doesn't already exist? Do you like working at the intersection of machine learning, mathematical modelling, and real-world systems-and want to see your work directly shape commercial products? If so, this could be a strong next step. We're working with a fast-growing B2B SaaS business operating at the cutting edge of behavioural and data science. Their platform helps some of the world's most recognisable consumer brands understand complex human systems and make better decisions from them. They're now looking for a dedicated ML/mathematical researcher to help evolve the core intelligence behind their product. This is a foundational hire in the research function-someone who will shape the next generation of their modelling capability. The Opportunity At the heart of the product is a behavioural and network-based modelling engine that underpins everything the company delivers to clients. This role will focus on improving, extending, and rethinking that engine-bringing in new research, testing novel approaches, and helping translate theory into scalable applied systems. You'll be working closely with the founding team and senior stakeholders, including one of the co-founders (a PhD-level researcher), to ensure research outputs directly influence product direction and commercial impact. This is not a purely academic role, but it does require a research mindset: curiosity, rigour, and a willingness to explore uncharted technical territory. What you'll be doing Researching and experimenting with new approaches to improve model performance Working with complex datasets, including behavioural and network-based structures Evaluating and comparing ML model performance using robust experimental design Incorporating academic research and theory into practical model architectures Designing and testing how model outputs can be applied to real business problems Contributing to the evolution of a core behavioural modelling system Translating research findings into product features in collaboration with engineering Supporting rollout of new capabilities into production systems and customer environments Helping prioritise future research directions based on data, users, and market needs Occasionally supporting external-facing or PR-driven research projects What we're looking for Strong Python skills for ML and data science (eg pandas, scikit-learn, Keras) Experience conducting structured research on ML model performance Interest in network science and its real-world applications Ability to define technical problems from ambiguous requirements Strong ability to synthesise research from multiple sources and apply it practically Confidence communicating complex ideas to both technical and non-technical audiences A self-directed mindset-you explore, test, and drive ideas forward independently Strong documentation and experimental discipline Creativity in applying scientific or mathematical theory to real datasets Nice to have Experience building production-ready ML systems Background in marketing effectiveness or attribution modelling Experience with social or network modelling Interest in behavioural science Geospatial or location-based data experience Docker or containerisation experience Linux/Bash familiarity What's on offer Equity/stock options 25 days annual leave + public holidays Annual training budget Personal tech allowance Hybrid working (3 days in Bristol office) Opportunity to shape a core product capability from an early stage Why this role? This is a chance to step into a genuinely research-led environment where your work won't sit in isolation. Instead, it will directly influence a live product used by major consumer brands. You'll be joining a small, high-trust team where curiosity is valued as much as execution, and where strong ideas-if they work-can quickly become part of the core platform. If you're someone who enjoys combining theory, experimentation, and real-world impact, this is one worth exploring. Apply by sending your CV to (see below)
May 07, 2026
Full time
Machine Learning/Data Science Researcher - Bristol (Hybrid | 3 days office) Full-time | Permanent Are you a researcher who enjoys solving problems where the solution doesn't already exist? Do you like working at the intersection of machine learning, mathematical modelling, and real-world systems-and want to see your work directly shape commercial products? If so, this could be a strong next step. We're working with a fast-growing B2B SaaS business operating at the cutting edge of behavioural and data science. Their platform helps some of the world's most recognisable consumer brands understand complex human systems and make better decisions from them. They're now looking for a dedicated ML/mathematical researcher to help evolve the core intelligence behind their product. This is a foundational hire in the research function-someone who will shape the next generation of their modelling capability. The Opportunity At the heart of the product is a behavioural and network-based modelling engine that underpins everything the company delivers to clients. This role will focus on improving, extending, and rethinking that engine-bringing in new research, testing novel approaches, and helping translate theory into scalable applied systems. You'll be working closely with the founding team and senior stakeholders, including one of the co-founders (a PhD-level researcher), to ensure research outputs directly influence product direction and commercial impact. This is not a purely academic role, but it does require a research mindset: curiosity, rigour, and a willingness to explore uncharted technical territory. What you'll be doing Researching and experimenting with new approaches to improve model performance Working with complex datasets, including behavioural and network-based structures Evaluating and comparing ML model performance using robust experimental design Incorporating academic research and theory into practical model architectures Designing and testing how model outputs can be applied to real business problems Contributing to the evolution of a core behavioural modelling system Translating research findings into product features in collaboration with engineering Supporting rollout of new capabilities into production systems and customer environments Helping prioritise future research directions based on data, users, and market needs Occasionally supporting external-facing or PR-driven research projects What we're looking for Strong Python skills for ML and data science (eg pandas, scikit-learn, Keras) Experience conducting structured research on ML model performance Interest in network science and its real-world applications Ability to define technical problems from ambiguous requirements Strong ability to synthesise research from multiple sources and apply it practically Confidence communicating complex ideas to both technical and non-technical audiences A self-directed mindset-you explore, test, and drive ideas forward independently Strong documentation and experimental discipline Creativity in applying scientific or mathematical theory to real datasets Nice to have Experience building production-ready ML systems Background in marketing effectiveness or attribution modelling Experience with social or network modelling Interest in behavioural science Geospatial or location-based data experience Docker or containerisation experience Linux/Bash familiarity What's on offer Equity/stock options 25 days annual leave + public holidays Annual training budget Personal tech allowance Hybrid working (3 days in Bristol office) Opportunity to shape a core product capability from an early stage Why this role? This is a chance to step into a genuinely research-led environment where your work won't sit in isolation. Instead, it will directly influence a live product used by major consumer brands. You'll be joining a small, high-trust team where curiosity is valued as much as execution, and where strong ideas-if they work-can quickly become part of the core platform. If you're someone who enjoys combining theory, experimentation, and real-world impact, this is one worth exploring. Apply by sending your CV to (see below)
United Kingdom Job Description Posted Wednesday 25 March 2026 at 01:00 Position Title Reports to Microsoft Technical Support Manager Team Department Support Services PURPOSE OF JOB We are seeking an experienced and highly skilled Microsoft Azure 3rd Line Support Engineer to join our dynamic IT support team. The ideal candidate will be responsible for providing advanced technical support for Azure-based solutions, handling complex issues that elevate from the 1st and 2nd line support teams, and ensuring high availability and performance of our cloud infrastructure. Bytes are looking to expand their customer facing Microsoft Support Desk after yet another year of impressive growth. Bytes' collaborative and solution led approach means that our customers look to us to help them deliver and achieve. The Microsoft support team is integral to this approach and our success. Key to success will be to work as part of a close-knit team, with a customer centric service focus. You will be working closely with customers by providing day-to-day technical support, assisting, and contributing to overall technical governance and leadership, technical excellence, and continual service improvement. Communication and collaboration are paramount to this role, you will work closely with a variety of internal and external business and will be continually engaged and collaborating with our clients. KEY RESPONSIBILITIES Take ownership of request raised by Bytes CSP clients or CSP resellers related to their Azure environment affecting any/all azure services and manage until a resolution has been found. Provide prompt and accurate feedback to customers or CSP resellers and assure the client feels included throughout the lifecycle of the ticket by maintaining contact via phone/email/Teams. Provide direct 3rd line escalation for Bytes VIP customers, Bytes CSP Expert customers, and Azure Managed Services customers. Follow standard procedures for proper escalation of unresolved issues to the appropriate internal teams. Able to manage and prioritize Open and Unresolved Azure tickets liaising with all 3 rd parties. Troubleshoot and resolve complex incidents and service requests that have been escalated from 1st and 2nd line support teams. Analyse and diagnose issues related to Azure infrastructure and services. Maintain up-to-date documentation on Azure configurations, incident resolutions, and standard operating procedures. Following standard procedures for proper escalation of unresolved issues to the appropriate internal teams. Work closely with other IT teams and stakeholders to ensure smooth operations and integration of Azure services. Collaborate with Microsoft Azure support for escalated issues that require vendor intervention. Stay current with Azure updates, new features, and industry best practices. Participate in continuous improvement initiatives to enhance support processes and service delivery. QUALIFICATIONS, EXPERIENCE, & SKILLS Professional Qualifications Microsoft Data Fundamentals (DP-900) Microsoft Azure Security Engineer (AZ-500) DESIRABLE Micro Microsoft Cybersecurity Architect (SC-100) REQUIRED EXPERIENCE, & SKILLS 6+ years working in a Technical Support team dealing with Microsoft Cloud services Knowledge of Microsoft Azure services, including but not limited to Azure Virtual Machines, Azure Entra, Azure Networking (Vnets, VPNs, ExpressRoute), Azure Storage, Azure SQL Database, Azure App Services, and Azure Kubernetes Service (AKS). Understanding of Azure networking concepts, including Virtual Networks, Network Security Groups, Azure Load Balancer, Azure Application Gateway, and Azure Firewall. Ability to advise clients of Azure Solutions that would meet requirements Ability to troubleshoot and resolve complex networking issues and understand connectivity between on-premises environments and Azure. Knowledge of Azure security features such as Azure Security Centre, Azure Key Vault, Azure Policy, and role-based access control (RBAC). Expertise in implementing and managing Azure Backup and Azure Site Recovery solutions. Strong communication skills to effectively interact with customers, gather requirements, and provide technical guidance. Experience in working in a Microsoft Partner Centre and Lighthouse Knowledge of Azure Entra, Azure Information Protection, Information Rights Management, single sign-on and multi-factor authentication and related technologies (including Microsoft Enterprise Mobility + Security) Ability to create detailed technical documentation, including incident reports, troubleshooting guides, and knowledge base articles. Previous experience automation manual tasks using ARM templates & JSON Knowledge on Hyper-V, VMware and On-prem servers Good understanding of Microsoft 365 Admin Portal and O365 Services Previous experience being part of a team dealing with Out of Hours requests CORE COMPETENCIES & SKILLS - BASED ON POSITION AND GRADE Ability to work proactively, independently and in an agile manner to achieve desired outcomes. Ability to work both independently and as a team player and enjoy working in an environment that requires continuous learning and development. Excellent written and Verbal Communication skills, and capable of communicating with senior stakeholders across the business as well as Client Infrastructure teams. Generate innovative approaches and solutions whilst achieving SLAs. Excellent organizational skills and ability to manage multiple demands whilst staying on top of deadlines. Ability to take ownership of tasks and drive the team objective forward. Provide advice and support to members in different departments within Bytes around Azure services. Driven to find out solutions to reoccurring issues and automate for team understanding/future implementation. Detailed note keeping within tickets to ensure all issues are properly logged with clear plan of future actions. Motivated to utilize training resource available to increase knowledge about Azure and collaboration across the wider team.
May 07, 2026
Full time
United Kingdom Job Description Posted Wednesday 25 March 2026 at 01:00 Position Title Reports to Microsoft Technical Support Manager Team Department Support Services PURPOSE OF JOB We are seeking an experienced and highly skilled Microsoft Azure 3rd Line Support Engineer to join our dynamic IT support team. The ideal candidate will be responsible for providing advanced technical support for Azure-based solutions, handling complex issues that elevate from the 1st and 2nd line support teams, and ensuring high availability and performance of our cloud infrastructure. Bytes are looking to expand their customer facing Microsoft Support Desk after yet another year of impressive growth. Bytes' collaborative and solution led approach means that our customers look to us to help them deliver and achieve. The Microsoft support team is integral to this approach and our success. Key to success will be to work as part of a close-knit team, with a customer centric service focus. You will be working closely with customers by providing day-to-day technical support, assisting, and contributing to overall technical governance and leadership, technical excellence, and continual service improvement. Communication and collaboration are paramount to this role, you will work closely with a variety of internal and external business and will be continually engaged and collaborating with our clients. KEY RESPONSIBILITIES Take ownership of request raised by Bytes CSP clients or CSP resellers related to their Azure environment affecting any/all azure services and manage until a resolution has been found. Provide prompt and accurate feedback to customers or CSP resellers and assure the client feels included throughout the lifecycle of the ticket by maintaining contact via phone/email/Teams. Provide direct 3rd line escalation for Bytes VIP customers, Bytes CSP Expert customers, and Azure Managed Services customers. Follow standard procedures for proper escalation of unresolved issues to the appropriate internal teams. Able to manage and prioritize Open and Unresolved Azure tickets liaising with all 3 rd parties. Troubleshoot and resolve complex incidents and service requests that have been escalated from 1st and 2nd line support teams. Analyse and diagnose issues related to Azure infrastructure and services. Maintain up-to-date documentation on Azure configurations, incident resolutions, and standard operating procedures. Following standard procedures for proper escalation of unresolved issues to the appropriate internal teams. Work closely with other IT teams and stakeholders to ensure smooth operations and integration of Azure services. Collaborate with Microsoft Azure support for escalated issues that require vendor intervention. Stay current with Azure updates, new features, and industry best practices. Participate in continuous improvement initiatives to enhance support processes and service delivery. QUALIFICATIONS, EXPERIENCE, & SKILLS Professional Qualifications Microsoft Data Fundamentals (DP-900) Microsoft Azure Security Engineer (AZ-500) DESIRABLE Micro Microsoft Cybersecurity Architect (SC-100) REQUIRED EXPERIENCE, & SKILLS 6+ years working in a Technical Support team dealing with Microsoft Cloud services Knowledge of Microsoft Azure services, including but not limited to Azure Virtual Machines, Azure Entra, Azure Networking (Vnets, VPNs, ExpressRoute), Azure Storage, Azure SQL Database, Azure App Services, and Azure Kubernetes Service (AKS). Understanding of Azure networking concepts, including Virtual Networks, Network Security Groups, Azure Load Balancer, Azure Application Gateway, and Azure Firewall. Ability to advise clients of Azure Solutions that would meet requirements Ability to troubleshoot and resolve complex networking issues and understand connectivity between on-premises environments and Azure. Knowledge of Azure security features such as Azure Security Centre, Azure Key Vault, Azure Policy, and role-based access control (RBAC). Expertise in implementing and managing Azure Backup and Azure Site Recovery solutions. Strong communication skills to effectively interact with customers, gather requirements, and provide technical guidance. Experience in working in a Microsoft Partner Centre and Lighthouse Knowledge of Azure Entra, Azure Information Protection, Information Rights Management, single sign-on and multi-factor authentication and related technologies (including Microsoft Enterprise Mobility + Security) Ability to create detailed technical documentation, including incident reports, troubleshooting guides, and knowledge base articles. Previous experience automation manual tasks using ARM templates & JSON Knowledge on Hyper-V, VMware and On-prem servers Good understanding of Microsoft 365 Admin Portal and O365 Services Previous experience being part of a team dealing with Out of Hours requests CORE COMPETENCIES & SKILLS - BASED ON POSITION AND GRADE Ability to work proactively, independently and in an agile manner to achieve desired outcomes. Ability to work both independently and as a team player and enjoy working in an environment that requires continuous learning and development. Excellent written and Verbal Communication skills, and capable of communicating with senior stakeholders across the business as well as Client Infrastructure teams. Generate innovative approaches and solutions whilst achieving SLAs. Excellent organizational skills and ability to manage multiple demands whilst staying on top of deadlines. Ability to take ownership of tasks and drive the team objective forward. Provide advice and support to members in different departments within Bytes around Azure services. Driven to find out solutions to reoccurring issues and automate for team understanding/future implementation. Detailed note keeping within tickets to ensure all issues are properly logged with clear plan of future actions. Motivated to utilize training resource available to increase knowledge about Azure and collaboration across the wider team.
Lead Data Platform Specialist - Up to 85k + c.15% Bonus Fully Remote - Condensed & flexible hours available (4 day working week available - 9 out of 10, etc.) My client, a nation-wide organisation with a reputation for excellence and a supportive, inclusive culture, is seeking a Lead Data Platform Engineer to join their Data Engineering and Machine Learning team. This is a high-impact, senior role, ideal for someone with deep experience in modern cloud data platforms, looking to shape and deliver a scalable, secure, and innovative data platform. You need to have strong experience working with Databricks You'll play a pivotal role in designing, building, and optimising their Azure-based Data Lakehouse, with a focus on Databricks, PySpark, Spark SQL, and Azure Data Factory. This isn't just about coding - you'll also provide architectural guidance, mentor engineers, and ensure solutions are scalable, secure, and aligned with business needs. Hands-on experience with CI/CD, automation, and infrastructure-as-code (Terraform, ARM templates) is essential. Experience in machine learning platforms or ML engineering is a bonus. Key Responsibilities: Build and maintain the Data Lakehouse platform in a secure Azure environment Develop automation for cluster management, integration runtimes, and networking Lead architectural design and ensure platform scalability, reliability, and governance Write efficient, maintainable code in PySpark, Python, and SQL Implement CI/CD pipelines and cloud infrastructure via Terraform/ARM Collaborate with data engineers, architects, and business stakeholders Mentor and coach engineers, fostering a culture of learning and excellence Essential Skills: Deep experience in Databricks, Azure Data Factory, and Lakehouse architecture Strong solution architecture and data platform engineering skills DevOps and automation expertise, including CI/CD, monitoring, and code quality Infrastructure-as-code (Terraform or ARM templates) for cloud resource provisioning Excellent communication and mentoring skills It's not often a role comes along in a team like this, where you get the chance to flex or condense hours, receive a strong salary with a bonus, potential for growth, independence and autonomy, and a clear pathway of progression. You'll get Private medical options, 25 days holiday, plus bank holiday, and the chance to buy/sell holiday. This is a rare opportunity to join a forward-thinking team at a leading organisation, working fully remotely with flexibility and excellent benefits. You'll be shaping the future of their data platform while collaborating with a talented and diverse team. To apply, please submit your CV as we are looking to move quickly on this role. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
May 07, 2026
Full time
Lead Data Platform Specialist - Up to 85k + c.15% Bonus Fully Remote - Condensed & flexible hours available (4 day working week available - 9 out of 10, etc.) My client, a nation-wide organisation with a reputation for excellence and a supportive, inclusive culture, is seeking a Lead Data Platform Engineer to join their Data Engineering and Machine Learning team. This is a high-impact, senior role, ideal for someone with deep experience in modern cloud data platforms, looking to shape and deliver a scalable, secure, and innovative data platform. You need to have strong experience working with Databricks You'll play a pivotal role in designing, building, and optimising their Azure-based Data Lakehouse, with a focus on Databricks, PySpark, Spark SQL, and Azure Data Factory. This isn't just about coding - you'll also provide architectural guidance, mentor engineers, and ensure solutions are scalable, secure, and aligned with business needs. Hands-on experience with CI/CD, automation, and infrastructure-as-code (Terraform, ARM templates) is essential. Experience in machine learning platforms or ML engineering is a bonus. Key Responsibilities: Build and maintain the Data Lakehouse platform in a secure Azure environment Develop automation for cluster management, integration runtimes, and networking Lead architectural design and ensure platform scalability, reliability, and governance Write efficient, maintainable code in PySpark, Python, and SQL Implement CI/CD pipelines and cloud infrastructure via Terraform/ARM Collaborate with data engineers, architects, and business stakeholders Mentor and coach engineers, fostering a culture of learning and excellence Essential Skills: Deep experience in Databricks, Azure Data Factory, and Lakehouse architecture Strong solution architecture and data platform engineering skills DevOps and automation expertise, including CI/CD, monitoring, and code quality Infrastructure-as-code (Terraform or ARM templates) for cloud resource provisioning Excellent communication and mentoring skills It's not often a role comes along in a team like this, where you get the chance to flex or condense hours, receive a strong salary with a bonus, potential for growth, independence and autonomy, and a clear pathway of progression. You'll get Private medical options, 25 days holiday, plus bank holiday, and the chance to buy/sell holiday. This is a rare opportunity to join a forward-thinking team at a leading organisation, working fully remotely with flexibility and excellent benefits. You'll be shaping the future of their data platform while collaborating with a talented and diverse team. To apply, please submit your CV as we are looking to move quickly on this role. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Machine Learning / Data Science Researcher - Bristol (Hybrid 3 days office) Full-time Permanent Are you a researcher who enjoys solving problems where the solution doesn't already exist? Do you like working at the intersection of machine learning, mathematical modelling, and real-world systems-and want to see your work directly shape commercial products? If so, this could be a strong next step. We're working with a fast-growing B2B SaaS business operating at the cutting edge of behavioural and data science. Their platform helps some of the world's most recognisable consumer brands understand complex human systems and make better decisions from them. They're now looking for a dedicated ML / mathematical researcher to help evolve the core intelligence behind their product. This is a foundational hire in the research function-someone who will shape the next generation of their modelling capability. The Opportunity At the heart of the product is a behavioural and network-based modelling engine that underpins everything the company delivers to clients. This role will focus on improving, extending, and rethinking that engine-bringing in new research, testing novel approaches, and helping translate theory into scalable applied systems. You'll be working closely with the founding team and senior stakeholders, including one of the co-founders (a PhD-level researcher), to ensure research outputs directly influence product direction and commercial impact. This is not a purely academic role, but it does require a research mindset: curiosity, rigour, and a willingness to explore uncharted technical territory. What you'll be doing Researching and experimenting with new approaches to improve model performance Working with complex datasets, including behavioural and network-based structures Evaluating and comparing ML model performance using robust experimental design Incorporating academic research and theory into practical model architectures Designing and testing how model outputs can be applied to real business problems Contributing to the evolution of a core behavioural modelling system Translating research findings into product features in collaboration with engineering Supporting rollout of new capabilities into production systems and customer environments Helping prioritise future research directions based on data, users, and market needs Occasionally supporting external-facing or PR-driven research projects What we're looking for Strong Python skills for ML and data science (e.g. pandas, scikit-learn, Keras) Experience conducting structured research on ML model performance Interest in network science and its real-world applications Ability to define technical problems from ambiguous requirements Strong ability to synthesise research from multiple sources and apply it practically Confidence communicating complex ideas to both technical and non-technical audiences A self-directed mindset-you explore, test, and drive ideas forward independently Strong documentation and experimental discipline Creativity in applying scientific or mathematical theory to real datasets Nice to have Experience building production-ready ML systems Background in marketing effectiveness or attribution modelling Experience with social or network modelling Interest in behavioural science Geospatial or location-based data experience Docker or containerisation experience Linux / Bash familiarity What's on offer Equity / stock options 25 days annual leave + public holidays Annual training budget Personal tech allowance Hybrid working (3 days in Bristol office) Opportunity to shape a core product capability from an early stage Why this role? This is a chance to step into a genuinely research-led environment where your work won't sit in isolation. Instead, it will directly influence a live product used by major consumer brands. You'll be joining a small, high-trust team where curiosity is valued as much as execution, and where strong ideas-if they work-can quickly become part of the core platform. If you're someone who enjoys combining theory, experimentation, and real-world impact, this is one worth exploring. Apply by sending your CV to (url removed)
May 07, 2026
Full time
Machine Learning / Data Science Researcher - Bristol (Hybrid 3 days office) Full-time Permanent Are you a researcher who enjoys solving problems where the solution doesn't already exist? Do you like working at the intersection of machine learning, mathematical modelling, and real-world systems-and want to see your work directly shape commercial products? If so, this could be a strong next step. We're working with a fast-growing B2B SaaS business operating at the cutting edge of behavioural and data science. Their platform helps some of the world's most recognisable consumer brands understand complex human systems and make better decisions from them. They're now looking for a dedicated ML / mathematical researcher to help evolve the core intelligence behind their product. This is a foundational hire in the research function-someone who will shape the next generation of their modelling capability. The Opportunity At the heart of the product is a behavioural and network-based modelling engine that underpins everything the company delivers to clients. This role will focus on improving, extending, and rethinking that engine-bringing in new research, testing novel approaches, and helping translate theory into scalable applied systems. You'll be working closely with the founding team and senior stakeholders, including one of the co-founders (a PhD-level researcher), to ensure research outputs directly influence product direction and commercial impact. This is not a purely academic role, but it does require a research mindset: curiosity, rigour, and a willingness to explore uncharted technical territory. What you'll be doing Researching and experimenting with new approaches to improve model performance Working with complex datasets, including behavioural and network-based structures Evaluating and comparing ML model performance using robust experimental design Incorporating academic research and theory into practical model architectures Designing and testing how model outputs can be applied to real business problems Contributing to the evolution of a core behavioural modelling system Translating research findings into product features in collaboration with engineering Supporting rollout of new capabilities into production systems and customer environments Helping prioritise future research directions based on data, users, and market needs Occasionally supporting external-facing or PR-driven research projects What we're looking for Strong Python skills for ML and data science (e.g. pandas, scikit-learn, Keras) Experience conducting structured research on ML model performance Interest in network science and its real-world applications Ability to define technical problems from ambiguous requirements Strong ability to synthesise research from multiple sources and apply it practically Confidence communicating complex ideas to both technical and non-technical audiences A self-directed mindset-you explore, test, and drive ideas forward independently Strong documentation and experimental discipline Creativity in applying scientific or mathematical theory to real datasets Nice to have Experience building production-ready ML systems Background in marketing effectiveness or attribution modelling Experience with social or network modelling Interest in behavioural science Geospatial or location-based data experience Docker or containerisation experience Linux / Bash familiarity What's on offer Equity / stock options 25 days annual leave + public holidays Annual training budget Personal tech allowance Hybrid working (3 days in Bristol office) Opportunity to shape a core product capability from an early stage Why this role? This is a chance to step into a genuinely research-led environment where your work won't sit in isolation. Instead, it will directly influence a live product used by major consumer brands. You'll be joining a small, high-trust team where curiosity is valued as much as execution, and where strong ideas-if they work-can quickly become part of the core platform. If you're someone who enjoys combining theory, experimentation, and real-world impact, this is one worth exploring. Apply by sending your CV to (url removed)
Capital One (Europe) plc
Nottingham, Nottinghamshire
A financial services company is looking for a Lead Data Scientist to spearhead the development of deep learning models for underwriting. This role involves transforming complex data into actionable insights and requires strong experience in machine learning frameworks like TensorFlow and PyTorch. The position offers a hybrid working model based in Nottingham or London, with numerous benefits including private medical insurance and career development opportunities.
May 06, 2026
Full time
A financial services company is looking for a Lead Data Scientist to spearhead the development of deep learning models for underwriting. This role involves transforming complex data into actionable insights and requires strong experience in machine learning frameworks like TensorFlow and PyTorch. The position offers a hybrid working model based in Nottingham or London, with numerous benefits including private medical insurance and career development opportunities.
Software Engineer Hampshire/Hybrid - 2 days per week onsite £60,000 - 65,000 per annum SC cleared The Opportunity Help deliver cutting-edge software solutions. You'll work on complex, real-world challenges using modern technologies like machine learning, edge computing, and DevOps automation to accelerate capability deployment. The Role You'll contribute to the development, release, and support of operational systems, with opportunities to expand into sensors and robotics. This is a collaborative role requiring strong technical expertise and effective communication across teams. What You'll Bring Degree in a STEM subject or equivalent experience Experience with some of the following: Languages: Python, Java, Rust, JavaScript Cloud: AWS (Azure/GCP beneficial) Containers: Docker, Kubernetes, GPU containerisation Architecture: Microservices, serverless, APIs, edge compute, pub/sub systems (Kafka, MQTT) DevSecOps: Git, CI/CD, Terraform/Ansible, Linux Scripting Proactive mindset, strong problem-solving skills, and ability to work independently or in teams Key Responsibilities Deliver software with product owners and engineering teams Contribute to Agile processes (Scrum, Kanban, SAFe) Ensure quality through testing and code reviews Support and troubleshoot live systems If this Software Engineer role is of interest, apply now or email me at (see below)
May 06, 2026
Full time
Software Engineer Hampshire/Hybrid - 2 days per week onsite £60,000 - 65,000 per annum SC cleared The Opportunity Help deliver cutting-edge software solutions. You'll work on complex, real-world challenges using modern technologies like machine learning, edge computing, and DevOps automation to accelerate capability deployment. The Role You'll contribute to the development, release, and support of operational systems, with opportunities to expand into sensors and robotics. This is a collaborative role requiring strong technical expertise and effective communication across teams. What You'll Bring Degree in a STEM subject or equivalent experience Experience with some of the following: Languages: Python, Java, Rust, JavaScript Cloud: AWS (Azure/GCP beneficial) Containers: Docker, Kubernetes, GPU containerisation Architecture: Microservices, serverless, APIs, edge compute, pub/sub systems (Kafka, MQTT) DevSecOps: Git, CI/CD, Terraform/Ansible, Linux Scripting Proactive mindset, strong problem-solving skills, and ability to work independently or in teams Key Responsibilities Deliver software with product owners and engineering teams Contribute to Agile processes (Scrum, Kanban, SAFe) Ensure quality through testing and code reviews Support and troubleshoot live systems If this Software Engineer role is of interest, apply now or email me at (see below)
To accelerate AI adoption and maximize the efficiency of our internal processes across our engineering teams, we are seeking a Senior Machine Learning Engineer who combines deep expertise in LLMs, MLOps, and agentic AI with the credibility and communication skills to drive change across a multi-domain, distributed engineering organisation.# Senior Machine Learning Engineer (all genders welcome) - AI platform and developer tools force multipliers for our engineering teams. This role This is a hands-on technical role, but also suits someone able to earn trust through demonstrated expertise, bring people along through clear communication, and navigate the organisational complexity of rolling out new tools and practices across distributed teams with different tech stacks and priorities.Your first major project will be leading the technical implementation of an AI-assisted development initiative. Tasks may be evaluating and configuring our AI tool stack, building the retrieval and context systems that make those tools useful for our codebase, and instrumenting the metrics that prove the value.Develop and maintain reusable system prompts for common engineering tasks and complex technical domains.Run training sessions, document best practices, and build the internal knowledge base that raises the AI capability of the whole organization. Several years of leadership as Technical Lead or Engineering Manager in ML; 5+ years of ML engineering experience. Proven track record designing, building, and operating scalable production ML systems and software platforms with measurable business impact. Experience building platform and infrastructure tools for other engineering teams and defining development processes and workflows. Excellent Python skills, hands-on cloud experience (Azure/AWS/GCP), and strong MLOps practice (CI/CD for ML, versioning, monitoring, automation). Deep understanding of modern LLM architectures (transformers, attention) and extensive production experience with foundation and embedding models. Proficiency with agentic frameworks, multi-agent system design, and advanced prompt engineering. Excellent communication skills to convey complex technical topics clearly to diverse stakeholders. Strong influence through expertise, ability to lead without formal authority, and collaborative mindset in complex organizations. High autonomy and comfort with ambiguity, combined with a servant-leadership mindset focused on enabling other engineers. Resilient, pragmatic approach with evidence-based iteration in emerging technology areas. Development opportunities and career opportunities in a global, innovative and long-term oriented group of companies with family character Flexible working time, working time accounts and Home Office possible An open, informal corporate culture, where we celebrate success with social events Depending on the hiring location you may also benefit from local benefits
May 06, 2026
Full time
To accelerate AI adoption and maximize the efficiency of our internal processes across our engineering teams, we are seeking a Senior Machine Learning Engineer who combines deep expertise in LLMs, MLOps, and agentic AI with the credibility and communication skills to drive change across a multi-domain, distributed engineering organisation.# Senior Machine Learning Engineer (all genders welcome) - AI platform and developer tools force multipliers for our engineering teams. This role This is a hands-on technical role, but also suits someone able to earn trust through demonstrated expertise, bring people along through clear communication, and navigate the organisational complexity of rolling out new tools and practices across distributed teams with different tech stacks and priorities.Your first major project will be leading the technical implementation of an AI-assisted development initiative. Tasks may be evaluating and configuring our AI tool stack, building the retrieval and context systems that make those tools useful for our codebase, and instrumenting the metrics that prove the value.Develop and maintain reusable system prompts for common engineering tasks and complex technical domains.Run training sessions, document best practices, and build the internal knowledge base that raises the AI capability of the whole organization. Several years of leadership as Technical Lead or Engineering Manager in ML; 5+ years of ML engineering experience. Proven track record designing, building, and operating scalable production ML systems and software platforms with measurable business impact. Experience building platform and infrastructure tools for other engineering teams and defining development processes and workflows. Excellent Python skills, hands-on cloud experience (Azure/AWS/GCP), and strong MLOps practice (CI/CD for ML, versioning, monitoring, automation). Deep understanding of modern LLM architectures (transformers, attention) and extensive production experience with foundation and embedding models. Proficiency with agentic frameworks, multi-agent system design, and advanced prompt engineering. Excellent communication skills to convey complex technical topics clearly to diverse stakeholders. Strong influence through expertise, ability to lead without formal authority, and collaborative mindset in complex organizations. High autonomy and comfort with ambiguity, combined with a servant-leadership mindset focused on enabling other engineers. Resilient, pragmatic approach with evidence-based iteration in emerging technology areas. Development opportunities and career opportunities in a global, innovative and long-term oriented group of companies with family character Flexible working time, working time accounts and Home Office possible An open, informal corporate culture, where we celebrate success with social events Depending on the hiring location you may also benefit from local benefits
Driving Innovation and Trust: Ten's Journey to Redefine Service Excellence Ten is on a mission to become the most trusted service business in the world. Technology-driven Product is at the centre of our strategy to create a hugely successful service and business. Millions of members already have access to Ten's services across lifestyle, travel, dining and entertainment on behalf of over fifty clients including HSBC, Swisscard, Visa, Mastercard and American Express. Ten's partnerships are based on multi-year contracts generating revenue through platform-as-a-service and technology fees. We have the advantages of already being at scale globally with a critical mass of high-net-worth members via stable, multi-year revenue-generating contracts. We already have a market leading consumer proposition and credibility (and many integrations) with the leading suppliers/partners across our 'big 4' service categories of restaurants, travel, entertainment and luxury retail. We are debt free, profitable and the first B Corp listed on the London Stock Exchange (AIM market). Our plans are to continue to invest into technology (including AI) to become the main way that our members organise their leisure lives. The next few years will see Ten speed up our progress via our Growth Engine strategy making the next huge steps to achieve our ambitions together. For more information about Ten, please check out the Welcome to Ten video and this article. The role We are a growing team navigating an exciting phase of digital transformation. We're expanding our Product Management function and are looking for a Senior Product Manager. You will work closely with Product Design and Engineering across Cape Town, London - UK, and Katowice - Poland, bringing a strategic, user centric focus to our Products. There will be ambiguity as we define our best practices, but for the right Product Manager, this is a unique opportunity to shape how product operates at a global scale without being micromanaged. With an inventory of over 650,000 hotels, 70,000 restaurants, and global event tickets, helping our members find exactly what they want is a massive challenge. You will own the "Discovery" experience: Search, Merchandising, Ranking algorithms, and Personalization, leveraging AI to surface the perfect recommendations. Key Responsibilities Strategic Ownership: Define the long term vision and roadmap for the search and discovery experience across the platform, optimizing ranking algorithms to ensure highly relevant, premium results. AI & Personalization: Champion the use of member data and AI/ML to build dynamic, personalized discovery feeds, surfacing relevant content, offers, and inventory proactively. Merchandising Innovation: Build robust tools and features that allow us to highlight curated collections, seasonal campaigns, and exclusive partnerships effectively. Data Driven Leadership: Define and track core discovery metrics (e.g., search to click, click to book, zero result searches) and run rigorous, complex experiments to improve content discoverability. Cross Functional Mentorship: Partner closely with Data Science, Engineering, and Design to turn massive datasets into an intuitive, luxurious browsing experience, while mentoring junior PMs on best practices. Minimum Experience: You have at least 5+ years of experience in product management, with a strong, proven background in search, e commerce merchandising, or algorithmic personalization at scale. Mastering Ambiguity: You excel in environments where processes are evolving. You have a proven track record of bringing order to complex, ambiguous problem spaces and setting strategic direction. Executive Communication: You are an expert collaborator and communicator. You know how to align C level stakeholders, push back constructively, and negotiate highly complex technical architectures with Engineering leads. Strategic Vision: You define the strategy. You anticipate market trends and business needs, diving deep into data to uncover transformative product opportunities. Analytical Rigour: You are deeply comfortable with data science concepts and understand how to measure and optimise the success of complex ranking and machine learning features. Fluent in English. Guidelines for Hybrid/Home Office Located in London. Please note that you will be asked to enter into a hybrid working arrangement - at least 2x a week in the office. A secure home office at your confirmed address, free from background noise or other distractions. You must meet our minimum internet speeds if you want to work in our hybrid model and this will be checked during the recruitment process and again when you join. We also have a great office that you can work from as an alternative. Rewards designed around you Competitive salary depending on experience. Hybrid working: You can combine working from home and working from the office. Paid time away from work: Our employees enjoy a competitive paid time off package, including a paid day each year to volunteer time for a good cause that is important to them. Paid Sabbaticals: One (1) month paid sabbatical after every 5 years of Service, without tapping into annual leave. Extra Rewards: Lucrative Ten Loyalty Rewards program which includes a bonus and gift to say thank you for being part of Ten. Remote Working Holidays: possibilities to travel and work anywhere in the world! Employee Discounts: Access to lots of great travel and entertainment discounts as our clients' members would! Be part of our global, dynamic, and inclusive team, with diversity at its core. Genuine career opportunities within a dynamic and international company. Commitment to Diversity We encourage diverse philosophies, cultures, and experiences. We appreciate diversity and are dedicated to creating an inclusive work environment for our employees. This idea unites the teams at TEN. All aspects of our relationship, including the decision to hire, promote, discipline, or terminate, will be based on merit, competence, performance and business needs.
May 06, 2026
Full time
Driving Innovation and Trust: Ten's Journey to Redefine Service Excellence Ten is on a mission to become the most trusted service business in the world. Technology-driven Product is at the centre of our strategy to create a hugely successful service and business. Millions of members already have access to Ten's services across lifestyle, travel, dining and entertainment on behalf of over fifty clients including HSBC, Swisscard, Visa, Mastercard and American Express. Ten's partnerships are based on multi-year contracts generating revenue through platform-as-a-service and technology fees. We have the advantages of already being at scale globally with a critical mass of high-net-worth members via stable, multi-year revenue-generating contracts. We already have a market leading consumer proposition and credibility (and many integrations) with the leading suppliers/partners across our 'big 4' service categories of restaurants, travel, entertainment and luxury retail. We are debt free, profitable and the first B Corp listed on the London Stock Exchange (AIM market). Our plans are to continue to invest into technology (including AI) to become the main way that our members organise their leisure lives. The next few years will see Ten speed up our progress via our Growth Engine strategy making the next huge steps to achieve our ambitions together. For more information about Ten, please check out the Welcome to Ten video and this article. The role We are a growing team navigating an exciting phase of digital transformation. We're expanding our Product Management function and are looking for a Senior Product Manager. You will work closely with Product Design and Engineering across Cape Town, London - UK, and Katowice - Poland, bringing a strategic, user centric focus to our Products. There will be ambiguity as we define our best practices, but for the right Product Manager, this is a unique opportunity to shape how product operates at a global scale without being micromanaged. With an inventory of over 650,000 hotels, 70,000 restaurants, and global event tickets, helping our members find exactly what they want is a massive challenge. You will own the "Discovery" experience: Search, Merchandising, Ranking algorithms, and Personalization, leveraging AI to surface the perfect recommendations. Key Responsibilities Strategic Ownership: Define the long term vision and roadmap for the search and discovery experience across the platform, optimizing ranking algorithms to ensure highly relevant, premium results. AI & Personalization: Champion the use of member data and AI/ML to build dynamic, personalized discovery feeds, surfacing relevant content, offers, and inventory proactively. Merchandising Innovation: Build robust tools and features that allow us to highlight curated collections, seasonal campaigns, and exclusive partnerships effectively. Data Driven Leadership: Define and track core discovery metrics (e.g., search to click, click to book, zero result searches) and run rigorous, complex experiments to improve content discoverability. Cross Functional Mentorship: Partner closely with Data Science, Engineering, and Design to turn massive datasets into an intuitive, luxurious browsing experience, while mentoring junior PMs on best practices. Minimum Experience: You have at least 5+ years of experience in product management, with a strong, proven background in search, e commerce merchandising, or algorithmic personalization at scale. Mastering Ambiguity: You excel in environments where processes are evolving. You have a proven track record of bringing order to complex, ambiguous problem spaces and setting strategic direction. Executive Communication: You are an expert collaborator and communicator. You know how to align C level stakeholders, push back constructively, and negotiate highly complex technical architectures with Engineering leads. Strategic Vision: You define the strategy. You anticipate market trends and business needs, diving deep into data to uncover transformative product opportunities. Analytical Rigour: You are deeply comfortable with data science concepts and understand how to measure and optimise the success of complex ranking and machine learning features. Fluent in English. Guidelines for Hybrid/Home Office Located in London. Please note that you will be asked to enter into a hybrid working arrangement - at least 2x a week in the office. A secure home office at your confirmed address, free from background noise or other distractions. You must meet our minimum internet speeds if you want to work in our hybrid model and this will be checked during the recruitment process and again when you join. We also have a great office that you can work from as an alternative. Rewards designed around you Competitive salary depending on experience. Hybrid working: You can combine working from home and working from the office. Paid time away from work: Our employees enjoy a competitive paid time off package, including a paid day each year to volunteer time for a good cause that is important to them. Paid Sabbaticals: One (1) month paid sabbatical after every 5 years of Service, without tapping into annual leave. Extra Rewards: Lucrative Ten Loyalty Rewards program which includes a bonus and gift to say thank you for being part of Ten. Remote Working Holidays: possibilities to travel and work anywhere in the world! Employee Discounts: Access to lots of great travel and entertainment discounts as our clients' members would! Be part of our global, dynamic, and inclusive team, with diversity at its core. Genuine career opportunities within a dynamic and international company. Commitment to Diversity We encourage diverse philosophies, cultures, and experiences. We appreciate diversity and are dedicated to creating an inclusive work environment for our employees. This idea unites the teams at TEN. All aspects of our relationship, including the decision to hire, promote, discipline, or terminate, will be based on merit, competence, performance and business needs.
# Senior Consultant - Data ArchitectLocation: London, United KingdomEmployment Type: Full-TimeIndustryJob Family: TechnologyCareer Level: Experienced Architect and implement end-to-end data solutions that address complex business problems, from data ingestion and processing to analytics and visualisation Collaborate with cross-functional teams to design, develop, and maintain scalable data pipelines and ETL processes to support analytics, business intelligence and data science initiatives Design data solutions that integrate both modern and legacy platforms, ensuring seamless data flow and accessibility Develop and maintain conceptual, logical, and physical data models (dimensional, relational, and/or data vault) Establish architectural best practices covering security, performance, scalability, and cost optimisation Design and own end-to-end data architecture solutions aligned to business and technology strategy Provide technical leadership, architecture governance, and design documentation across data initiatives Develop and maintain data models, schemas, and metadata repositories Implement robust data quality frameworks and governance policies to maintain data integrity, security, and compliance throughout the data lifecycle Leverage AI technologies to enhance data solutions through intelligent automation, anomaly detection, and predictive data quality monitoring, while ensuring ethical AI practices and governance Translate complex data insights into compelling visual narratives and actionable recommendations for both technical and non-technical stakeholders Adopt and communicate new concepts, ideas, techniques, and best practices, including prototyping new architecture methods, tools and products that might provide future value to our clients IDEALLY, WE'D LIKE: Total Rewards associated with this position include a comprehensive benefits package designed to support your well-being and financial security. Unique perks include flexible time off, a private medical plan, a health cash plan, a workplace savings scheme (including ISAs and GIAs), and enhanced parental leave. Applicants must be authorized to work in the United Kingdom, without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided, either now or in the future, for this position. North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race, color, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law. We handle all information in accordance local privacy standards and maintain strict confidentiality.This role is primarily responsible for delivering data and analytics work using modern data platforms and analytical techniques. YOU WILL: MAKE STRATEGY A REALITY ACCELERATE YOUR GROWTH CHOOSE YOUR PATH As the world's leading change and transformation consultancy, we're helping businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last. We're seeking a Senior Consultant - Data Architect in London in Technology & Data to help us take vision to value and create lasting impact. SUMMARY Bachelor's or foreign equivalent degree in computer science, computer engineering, data engineering, or a related field 5+ years of experience in data engineering, including designing and implementing ETL processes, data pipelines, and data storage solutions, ideally with 2+ years of experience leading data engineering projects or workstreams Extensive experience with cloud platforms and their data services, with relevant cloud data engineering certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate) Knowledge of data governance principles and best practices Experience working with data visualisation techniques and tools (e.g., PowerBI, Tableau, Looker) and deploying enterprise-wide analytics dashboards Experience with AI and machine learning integration in data solutions, including working knowledge of AI governance frameworks and ethical considerations Demonstrated ability to translate data insights into business value and communicate complex technical concepts to executive stakeholders Strong ability to work independently and collaboratively in a dynamic, hybrid environment Strong communication skills and ability to translate complex technical concepts to non-technical stakeholders Travel: regional travel expected on an as-needed basis, depending on client needs, up to 50%
May 06, 2026
Full time
# Senior Consultant - Data ArchitectLocation: London, United KingdomEmployment Type: Full-TimeIndustryJob Family: TechnologyCareer Level: Experienced Architect and implement end-to-end data solutions that address complex business problems, from data ingestion and processing to analytics and visualisation Collaborate with cross-functional teams to design, develop, and maintain scalable data pipelines and ETL processes to support analytics, business intelligence and data science initiatives Design data solutions that integrate both modern and legacy platforms, ensuring seamless data flow and accessibility Develop and maintain conceptual, logical, and physical data models (dimensional, relational, and/or data vault) Establish architectural best practices covering security, performance, scalability, and cost optimisation Design and own end-to-end data architecture solutions aligned to business and technology strategy Provide technical leadership, architecture governance, and design documentation across data initiatives Develop and maintain data models, schemas, and metadata repositories Implement robust data quality frameworks and governance policies to maintain data integrity, security, and compliance throughout the data lifecycle Leverage AI technologies to enhance data solutions through intelligent automation, anomaly detection, and predictive data quality monitoring, while ensuring ethical AI practices and governance Translate complex data insights into compelling visual narratives and actionable recommendations for both technical and non-technical stakeholders Adopt and communicate new concepts, ideas, techniques, and best practices, including prototyping new architecture methods, tools and products that might provide future value to our clients IDEALLY, WE'D LIKE: Total Rewards associated with this position include a comprehensive benefits package designed to support your well-being and financial security. Unique perks include flexible time off, a private medical plan, a health cash plan, a workplace savings scheme (including ISAs and GIAs), and enhanced parental leave. Applicants must be authorized to work in the United Kingdom, without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided, either now or in the future, for this position. North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race, color, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law. We handle all information in accordance local privacy standards and maintain strict confidentiality.This role is primarily responsible for delivering data and analytics work using modern data platforms and analytical techniques. YOU WILL: MAKE STRATEGY A REALITY ACCELERATE YOUR GROWTH CHOOSE YOUR PATH As the world's leading change and transformation consultancy, we're helping businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last. We're seeking a Senior Consultant - Data Architect in London in Technology & Data to help us take vision to value and create lasting impact. SUMMARY Bachelor's or foreign equivalent degree in computer science, computer engineering, data engineering, or a related field 5+ years of experience in data engineering, including designing and implementing ETL processes, data pipelines, and data storage solutions, ideally with 2+ years of experience leading data engineering projects or workstreams Extensive experience with cloud platforms and their data services, with relevant cloud data engineering certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate) Knowledge of data governance principles and best practices Experience working with data visualisation techniques and tools (e.g., PowerBI, Tableau, Looker) and deploying enterprise-wide analytics dashboards Experience with AI and machine learning integration in data solutions, including working knowledge of AI governance frameworks and ethical considerations Demonstrated ability to translate data insights into business value and communicate complex technical concepts to executive stakeholders Strong ability to work independently and collaboratively in a dynamic, hybrid environment Strong communication skills and ability to translate complex technical concepts to non-technical stakeholders Travel: regional travel expected on an as-needed basis, depending on client needs, up to 50%
The Mission Club JURA is Zaizi's dedicated club for Defence. We are looking for a heavyweight Head of Engineering to lead our technical mission. You will lead the technical mission, ensuring our solutions are architected with the holistic rigour of systems engineering while providing high level technical oversight for modern, cloud native software delivery. Reporting to the Club Exec, you will be the technical linchpin of Club JURA, translating high level mission objectives into rigorous engineering roadmaps, while providing the data backed assurance and performance reporting necessary to de risk our most complex sovereign programmes. Key Responsibilities System Design Authority (SDA): Act as the ultimate technical authority for Club JURA. You will own the architectural integrity of the "System of Systems," providing overwatching of design, integration, and test (I&T) technical oversight across both hardware software interfaces and pure software platforms. Standards & Compliance: Own the application of established standards from ISO 15288 to Def Stan / IEC 61508. You will provide the engineering oversight and process rigour required to enhance quality in high security and safety critical domains. Software Oversight: While focussed on the system, you will provide technical oversight for software engineering teams. You'll ensure that modern software practices (Agile, DevSecOps, CI/CD) are harmonised with the overall system V lifecycle and safety requirements. Performance & Board Reporting: Establish and track KPIs for engineering performance. You will provide the Club Exec and Zaizi Board with transparent, data driven reporting on technical risk, system maturity, and delivery health. Team Shaping & Governance: Recruit, mentor, and lead elite engineering teams. You will mentor engineers in "systems thinking" to help them influence and shape complex customer problems. You will instill the V Model lifecycle across the club while maintaining the agility of DevSecOps and cloud native delivery. Bid & Solution Strategy: Lead the technical strategy for major defence tenders. You will translate complex MoD requirements into robust, high confidence estimates and architectural blueprints that navigate the nuances of commercial frameworks (e.g., DSP). You will use your experience across multiple defence domains to ensure our bids are technically sound, commercially viable, and compliant with relevant standards. Intelligent Problem Solving: Where applicable, identify and architect AI driven solutions for complex defence challenges. You will ensure that AI and Machine Learning are integrated into systems engineering to solve specific mission problems-such as predictive maintenance or autonomous ISTAR-ensuring they are fit for purpose and operationally sound. Internal Collaboration: Work with our in house AI team and provide practical, frontline focused input to help shape internal IRAD, ensuring our research has real world utility in contested environments. Requirements Security: Active UK Security Clearance (SC and above) is mandatory. Systems Mastery: Deep expertise in the V Model and systems of systems thinking. You are well versed in the application of ISO 15288, IEC 61508, and are familiar with AI risk frameworks like ISO/IEC 23894 where applicable. Technical Breadth: A strong systems engineering core with significant hands on experience in IT, Data, and Cloud (AWS/Azure). You understand the "Silicon" as well as the "System." Commercial Intelligence: Significant experience across multiple defence domains with a thorough understanding of relevant commercial frameworks, DEFCONs, and MoD technical standards. C Suite Gravitas: The ability to navigate between technical specialists and senior stakeholders, translating complex technical and safety risks into clear strategic and commercial choices. We actively welcome applications from people of colour, the LGBTQ+ community, individuals with disabilities, neurodivergent individuals, parents, carers, and those from lower socio economic backgrounds. If you need any accommodations to support your specific situation, please feel free to let us know. For candidates who are neurodiverse or have disabilities, we are happy to make any adjustments needed throughout the interview process-just ask! Salaries - £90,000 - £115,000 SC Clearance Zaizi works with UK Central Government departments on a range of projects. To be able to work on our customer projects, employees must be Security Cleared to a standard acceptable to our Government customers. Due to this restriction we can currently only recruit candidates who have the right to work in the UK without sponsorship and who have lived in the UK for the last 5+ years continuously. Benefits Compensation Competitive Pay: Salaries reviewed annually to ensure they reflect your performance and market value. Loyalty Pension: We invest in your future. Starting at a 5% employer contribution, we increase this by 0.5% every year after your third anniversary, up to a maximum of 8%. Protection: Comprehensive Group Life Assurance for peace of mind. Purpose & Culture Real Impact: Work on mission critical projects that secure and improve the UK's digital infrastructure. Autonomy: A culture that empowers you to make decisions, prototype rapidly, and iterate towards success. Service & Community: We support those who serve. 10 paid days for Reservist Military Service. Work / Life Balance Time Off: 25 days annual leave + Bank Holidays, with the flexibility to Buy/Sell additional days to suit your lifestyle. Giving back: 2 paid volunteering days per year. Development & Growth Master Your Craft: Fully funded professional certifications (AWS, GCP, Agile, etc.) supported by 5 days paid study leave. Expand Your Horizons: An additional £500 annual "Personal Choice" fund to learn whatever inspires you-work related or not. Support: Access to 1 2 1 professional coaching and team training to accelerate your career. Health & Balance Premium Health: Vitality Private Medical Insurance (includes Apple Watch, gym discounts, and rewards). Flexibility: Genuine hybrid working with a WFH equipment allowance to perfect your home setup. Wellbeing: Cycle to Work scheme and a commitment to sustainable, healthy working practices.
May 05, 2026
Full time
The Mission Club JURA is Zaizi's dedicated club for Defence. We are looking for a heavyweight Head of Engineering to lead our technical mission. You will lead the technical mission, ensuring our solutions are architected with the holistic rigour of systems engineering while providing high level technical oversight for modern, cloud native software delivery. Reporting to the Club Exec, you will be the technical linchpin of Club JURA, translating high level mission objectives into rigorous engineering roadmaps, while providing the data backed assurance and performance reporting necessary to de risk our most complex sovereign programmes. Key Responsibilities System Design Authority (SDA): Act as the ultimate technical authority for Club JURA. You will own the architectural integrity of the "System of Systems," providing overwatching of design, integration, and test (I&T) technical oversight across both hardware software interfaces and pure software platforms. Standards & Compliance: Own the application of established standards from ISO 15288 to Def Stan / IEC 61508. You will provide the engineering oversight and process rigour required to enhance quality in high security and safety critical domains. Software Oversight: While focussed on the system, you will provide technical oversight for software engineering teams. You'll ensure that modern software practices (Agile, DevSecOps, CI/CD) are harmonised with the overall system V lifecycle and safety requirements. Performance & Board Reporting: Establish and track KPIs for engineering performance. You will provide the Club Exec and Zaizi Board with transparent, data driven reporting on technical risk, system maturity, and delivery health. Team Shaping & Governance: Recruit, mentor, and lead elite engineering teams. You will mentor engineers in "systems thinking" to help them influence and shape complex customer problems. You will instill the V Model lifecycle across the club while maintaining the agility of DevSecOps and cloud native delivery. Bid & Solution Strategy: Lead the technical strategy for major defence tenders. You will translate complex MoD requirements into robust, high confidence estimates and architectural blueprints that navigate the nuances of commercial frameworks (e.g., DSP). You will use your experience across multiple defence domains to ensure our bids are technically sound, commercially viable, and compliant with relevant standards. Intelligent Problem Solving: Where applicable, identify and architect AI driven solutions for complex defence challenges. You will ensure that AI and Machine Learning are integrated into systems engineering to solve specific mission problems-such as predictive maintenance or autonomous ISTAR-ensuring they are fit for purpose and operationally sound. Internal Collaboration: Work with our in house AI team and provide practical, frontline focused input to help shape internal IRAD, ensuring our research has real world utility in contested environments. Requirements Security: Active UK Security Clearance (SC and above) is mandatory. Systems Mastery: Deep expertise in the V Model and systems of systems thinking. You are well versed in the application of ISO 15288, IEC 61508, and are familiar with AI risk frameworks like ISO/IEC 23894 where applicable. Technical Breadth: A strong systems engineering core with significant hands on experience in IT, Data, and Cloud (AWS/Azure). You understand the "Silicon" as well as the "System." Commercial Intelligence: Significant experience across multiple defence domains with a thorough understanding of relevant commercial frameworks, DEFCONs, and MoD technical standards. C Suite Gravitas: The ability to navigate between technical specialists and senior stakeholders, translating complex technical and safety risks into clear strategic and commercial choices. We actively welcome applications from people of colour, the LGBTQ+ community, individuals with disabilities, neurodivergent individuals, parents, carers, and those from lower socio economic backgrounds. If you need any accommodations to support your specific situation, please feel free to let us know. For candidates who are neurodiverse or have disabilities, we are happy to make any adjustments needed throughout the interview process-just ask! Salaries - £90,000 - £115,000 SC Clearance Zaizi works with UK Central Government departments on a range of projects. To be able to work on our customer projects, employees must be Security Cleared to a standard acceptable to our Government customers. Due to this restriction we can currently only recruit candidates who have the right to work in the UK without sponsorship and who have lived in the UK for the last 5+ years continuously. Benefits Compensation Competitive Pay: Salaries reviewed annually to ensure they reflect your performance and market value. Loyalty Pension: We invest in your future. Starting at a 5% employer contribution, we increase this by 0.5% every year after your third anniversary, up to a maximum of 8%. Protection: Comprehensive Group Life Assurance for peace of mind. Purpose & Culture Real Impact: Work on mission critical projects that secure and improve the UK's digital infrastructure. Autonomy: A culture that empowers you to make decisions, prototype rapidly, and iterate towards success. Service & Community: We support those who serve. 10 paid days for Reservist Military Service. Work / Life Balance Time Off: 25 days annual leave + Bank Holidays, with the flexibility to Buy/Sell additional days to suit your lifestyle. Giving back: 2 paid volunteering days per year. Development & Growth Master Your Craft: Fully funded professional certifications (AWS, GCP, Agile, etc.) supported by 5 days paid study leave. Expand Your Horizons: An additional £500 annual "Personal Choice" fund to learn whatever inspires you-work related or not. Support: Access to 1 2 1 professional coaching and team training to accelerate your career. Health & Balance Premium Health: Vitality Private Medical Insurance (includes Apple Watch, gym discounts, and rewards). Flexibility: Genuine hybrid working with a WFH equipment allowance to perfect your home setup. Wellbeing: Cycle to Work scheme and a commitment to sustainable, healthy working practices.
Director, Machine Learning Science - Content AI Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools that deliver high-quality experiences for travelers, partners, and our employees. A single technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Introduction to the Team We're seeking a Director of Machine Learning Science to lead our Content AI strategy and execution. In this pivotal role, you will move beyond traditional ML applications to architect the next generation of our Content Engine. You will leverage Large Language Models (LLMs), Multimodal Modality, Agentic Workflow to ensure that every image, review, property description, and video is not only relevant but inspiring, safe, and hyper-personalized. Responsibilities Define the Content AI Strategy: Establish the technical roadmap and OKRs for the Machine Learning systems that power Content Generation, Content Moderation, and Content Relevance across our global ecosystem. Lead AI Innovation: Spearhead the deployment of cutting edge AI solutions (LLMs, Diffusion Models) to automate content creation (text, image, video) and summarization, enhancing discovery on both app and web platforms. Pioneer Agentic Workflows: Drive the research and development of autonomous AI Agents capable of reasoning over vast content repositories to answer complex traveler queries and perform multi-step planning tasks. Master Content Relevance & Safety: Oversee the development of models that rank and personalize content to improve conversion and loyalty, while simultaneously building robust automated moderation pipelines to ensure brand safety, trust, and quality at scale. Bridge the Gap between Research & Product: Prioritize efforts between foundational platform migration/optimization and cutting edge experimentation with new GenAI features. Influence & Collaborate: Foster cross functional partnerships with Product, Engineering, Legal, and Supply teams to integrate AI generated content into the core user experience seamlessly. Build a World Class Team: Recruit, mentor, and manage a high performing team of Applied Scientists and AI Engineers, fostering a culture of technical excellence and rapid experimentation. Minimum Qualifications Graduate degree (PhD preferred) in Computer Science, Artificial Intelligence, Computational Linguistics, or equivalent experience. 12+ years of experience in Machine Learning Science with a specific focus on NLP, Computer Vision, or Recommender Systems. 5+ years of people management experience, with a track record of leading high performing science teams in a tech first environment. Hands on experience with Generative AI technologies (e.g., Transformer architectures, LLMs like LLaMA/GPT, RAG pipelines, PEFT/LoRA fine tuning). Understanding of hallucination, latency, and cost optimization. Proven experience in the Content ML/AI space, specifically regarding Content Understanding, Moderation, Generation, and Relevance, creating rich and immersive user experiences. A proven track record of taking high risk, high reward ML projects from proof of concept to large scale production serving millions of users. Preferred Qualifications Agentic AI Experience: Experience building and deploying Agentic workflows with tool use, planning, and reasoning capabilities. Ability to translate complex AI concepts into clear business value for executive stakeholders. Pay Range: Total cash base $242,000.00 to $338,500.00 in San Jose. Potential to increase salary up to $387,000.00 based on performance. Starting pay varies by location, budget, and experience. Benefits: medical/dental/vision, paid time off, Employee Assistance Program, wellness & travel reimbursement, travel discounts, International Airlines Travel Agent membership. View our full list of benefits. Accommodation Requests If you need assistance with any part of the application or recruiting process due to a disability or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
May 05, 2026
Full time
Director, Machine Learning Science - Content AI Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools that deliver high-quality experiences for travelers, partners, and our employees. A single technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Introduction to the Team We're seeking a Director of Machine Learning Science to lead our Content AI strategy and execution. In this pivotal role, you will move beyond traditional ML applications to architect the next generation of our Content Engine. You will leverage Large Language Models (LLMs), Multimodal Modality, Agentic Workflow to ensure that every image, review, property description, and video is not only relevant but inspiring, safe, and hyper-personalized. Responsibilities Define the Content AI Strategy: Establish the technical roadmap and OKRs for the Machine Learning systems that power Content Generation, Content Moderation, and Content Relevance across our global ecosystem. Lead AI Innovation: Spearhead the deployment of cutting edge AI solutions (LLMs, Diffusion Models) to automate content creation (text, image, video) and summarization, enhancing discovery on both app and web platforms. Pioneer Agentic Workflows: Drive the research and development of autonomous AI Agents capable of reasoning over vast content repositories to answer complex traveler queries and perform multi-step planning tasks. Master Content Relevance & Safety: Oversee the development of models that rank and personalize content to improve conversion and loyalty, while simultaneously building robust automated moderation pipelines to ensure brand safety, trust, and quality at scale. Bridge the Gap between Research & Product: Prioritize efforts between foundational platform migration/optimization and cutting edge experimentation with new GenAI features. Influence & Collaborate: Foster cross functional partnerships with Product, Engineering, Legal, and Supply teams to integrate AI generated content into the core user experience seamlessly. Build a World Class Team: Recruit, mentor, and manage a high performing team of Applied Scientists and AI Engineers, fostering a culture of technical excellence and rapid experimentation. Minimum Qualifications Graduate degree (PhD preferred) in Computer Science, Artificial Intelligence, Computational Linguistics, or equivalent experience. 12+ years of experience in Machine Learning Science with a specific focus on NLP, Computer Vision, or Recommender Systems. 5+ years of people management experience, with a track record of leading high performing science teams in a tech first environment. Hands on experience with Generative AI technologies (e.g., Transformer architectures, LLMs like LLaMA/GPT, RAG pipelines, PEFT/LoRA fine tuning). Understanding of hallucination, latency, and cost optimization. Proven experience in the Content ML/AI space, specifically regarding Content Understanding, Moderation, Generation, and Relevance, creating rich and immersive user experiences. A proven track record of taking high risk, high reward ML projects from proof of concept to large scale production serving millions of users. Preferred Qualifications Agentic AI Experience: Experience building and deploying Agentic workflows with tool use, planning, and reasoning capabilities. Ability to translate complex AI concepts into clear business value for executive stakeholders. Pay Range: Total cash base $242,000.00 to $338,500.00 in San Jose. Potential to increase salary up to $387,000.00 based on performance. Starting pay varies by location, budget, and experience. Benefits: medical/dental/vision, paid time off, Employee Assistance Program, wellness & travel reimbursement, travel discounts, International Airlines Travel Agent membership. View our full list of benefits. Accommodation Requests If you need assistance with any part of the application or recruiting process due to a disability or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
